The Role of The Echoic in the Acquisition of Tacts: A Bidirectional Naming Account

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Engell, Caio F. Miguel, Karina Zhelezoglo, Andresa de Souza This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7745112/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract We used an adapted alternating treatments’ design to assess the emergence of tacts after four typically developing children were exposed to simultaneous presentations of pictures and their names while either requiring an echoic response, an incompatible response, or instructed them to be quiet. Sessions attempted to replicate typical parent-child interactions. For three out of the four participants, 100% accurate responding during tact probes occurred sooner after stimulus pairing conditions in which they could engage in echoic responses, compared to when they were prevented from echoing during stimulus pairing. The results seem to support a facilitative role of the echoic in the emergence of tacts. These findings have important implications for understanding typical language acquisition and for teaching verbal behavior to individuals who may experience deficits in this area. Psychology Tacts Echoics Bidirectional Naming Verbal Behavior Language Development Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Early childhood language development is often characterized by a “language explosion” during which children learn many new words over a short period of time (Fenson et al., 1994 ). Between the ages of 20 to 36 months, their average cumulative vocabulary may spurt from around 200 (at 20 months) to 1200 (at 36 months) words (Hart & Risley, 1995 ). Even though the sudden nature of this acquisition may seem magical, the behavioral mechanisms responsible for its occurrence are often linked to specific events and interactions between children and their caregivers (Greer & Speckman, 2009 ; Hart & Risley, 1995 ; Horne & Lowe, 1996 ). Horne and Lowe ( 1996 ) identified several behaviors to be necessary for this “language explosion.” As early as the first few days of life (Eimas et al., 1971 ), newborns may discriminate between speech and non-speech sounds, and between their native language and other languages (Moon et al., 1993 ). These speech sounds, especially those of the mother, may get established as effective reinforcers (Mehler et al., 1978 ). Prior to speaking about objects, events, or actions, caregivers often make observations about what the child is looking at, pointing to, or engaging with before reinforcing the child’s attention to them (e.g., “You see big sister?” Yes, you do!” or “Look, Teddy Bear needs a hug!”). Such joint attention (Holth, 2005 ; Miguel, 2016 ) may later occasion the child to point to objects and events, and in turn lead the caregiver to model appropriate behaviors related to many different objects in the environment (i.e., conventional listener behavior). Towards the end of their first year, infants may learn to reproduce parts of, or complete vocal verbal behavior of others around them (Oller et al., 1976 ). The reproduction of words and sounds may be automatically reinforced (Miguel et al., 2002 ; Sundberg et al., 1996 ). Thus, through series of interactions between caregiver and child, the echoic behavior might generalize to many novel sounds (i.e., generalized echoic repertoire). This repertoire seems to play a crucial role in facilitating the establishment of new verbal relations, as children can repeat what parents are saying in the presence of the objects being talked about. Therefore, the objects and events that are present when the child engages in echoic behavior may acquire functional control over the child’s specific verbal topography, leading to the development of the tact (Horne & Lowe, 1996 ; Miguel, 2016 ). These contingencies are responsible for the development of a generalized bidirectional naming repertoire in that when learning what objects are called, children can attend to them while echoing their name, which would lead to their rapid vocabulary expansion (Horne & Lowe, 1996 ). However, research attempting to isolate the functional role of the echoic during such experiences have yielded mixed results, both with measures of co-variation (Byrne et al., 2014 ; Delfs et al., 2014 ; Haq et al., 2017 ) and experimental manipulation (Ezell & Goldstein, 1989 ; Hawkins et al., 2009 ; Olaff et al., 2017 ; Petursdottir et al., 2014 ; Petursdottir et al., 2020 ). Some of these studies (Hawkins et al., 2009 ; Miller et al., 2021 ; Petursdottir et al., 2020 ) assessed the emergent of tacts after requiring participants to echo the names of experimental stimuli during either speaker or listener training, or by creating opportunities to echo the stimulus name in its presence. Hawkins et al. ( 2009 ), for instance, investigated the effects of MEI with an added echoic requirement on the acquisition of speaker and listener behavior in three children with autism. They required the participants to either echo or sign the auditory sample before pointing to the correct stimulus (e.g., participants echoed or signed “horse” before pointing to the picture of the horse). Participants demonstrated increases in untaught responses across all four response topographies (i.e., matching to sample, tact, intraverbal and point) following MEI alone, however, it was not until the echoic or sign response requirement was added that participants reached mastery during listener, tact, and intraverbal probes. Conversely, Petursdottir et al. ( 2014 ) conducted listener training (i.e., MTS) with four typically developing children and found no enhanced effects on emergent verbal relations (i.e., correct foreign tacts and intraverbals) when adding an echoic and native-language tact requirement (i.e., collateral response requirement) to their listener training, compared to listener training alone. During the collateral response training condition that included the echoic requirement, the experimenters presented Japanese spoken words and required an echoic response before presenting the pictures of written Japanese signs (i.e., the comparison stimuli were not visible until the participant performed the echoic response) and prompting correct selection of the written Japanese word. The results showed that some of the participants reached the mastery criterion during tact probes faster after receiving standard listener training than the listener training with added response requirements. More recently, a series of studies (Miller et al., 2021 ; Petursdottir et al., 2020 ) attempted to determine the role of the echoic in the emergence of tacts when exposing children to a procedure intended to mimic the experiences they encounter when learning new words incidentally. Petursdottir et al. ( 2020 ), exposed four typically developing children to contiguous presentations of pictures of birds and their spoken names, such as “kiskadee” and “catbird,” in a multiple probe design with two conditions (i.e., word-first and image-first). The experimenters hypothesized that the word-first condition, in which the participants were exposed to the spoken name of the bird prior to its picture, would provide a greater opportunity to echo the name of the bird in the presence of the picture rather than echoing the name of the bird after the presentation of the picture, as in the image-first condition. The results indicated participant responding at chance levels, despite engaging in frequent echoic responses across conditions. Petursdottir et al. conducted subsequent experiments to address potential limitations (i.e., limited attention to stimuli), however, results were similar to Experiment 1 with no significant difference on tact probes across the two presentation orders. In a follow-up study, Miller et al. ( 2021 ) included a blocking procedure, hypothesized to prevent echoic responses from occurring. Five 3- to 5-year-olds were exposed to simultaneous presentations of auditory and visual stimuli across three conditions that were alternated, an echoic condition, a blocking condition, and a no-response requirement (NRR) condition. Stimuli consisted of pictures of flags presented on different colored backgrounds on a computer screen. Depending on the condition, participants were asked to either repeat the spoken name of the picture (i.e., echoic condition), tact the color of the background of the picture (i.e., blocking condition), or do nothing specific (no-response requirement condition; NRR). Results showed that only one participant emitted higher percentages of correct tacts after the echoic condition compared to the blocking and NRR conditions. However, none of the participants demonstrated full emergence in any condition (i.e., 100% accuracy during tact probes). It is possible that participant’s responses were due to the low discriminability between conditions (i.e., some participants echoed during the blocking condition) and lack of reinforcement (i.e., quality of stimuli or during probes). The study also did not include measures of listener responses, although participants’ age and listener repertoires (i.e., as measured by PPVT-4) would suggest that they had all the necessary skills to learn tacts incidentally (i.e., BiN). Most importantly, the study was conducted under conditions that may not resemble those encountered in early childhood language acquisition as described above. Other reasons why previous studies (Byrne et al., 2014 ; C. Delfs et al., 2014 ; Ezell & Goldstein, 1989 ; Haq et al., 2017 ; Miller et al., 2021 ; Olaff et al., 2017 ; Petursdottir et al., 2014 ; Petursdottir et al., 2020 ) have produced mixed results may be related to procedural variations such as the study design, and presentation order or format. For example, several studies (Hawkins et al., 2009 ; Petursdottir et al., 2014 ; Petursdottir et al., 2020 ) reported that their manipulation required participants to echo the auditory stimuli in the absence of the visual stimuli, a potential problem considering that for a nonverbal stimulus to acquire functional control over verbal responses (i.e., as in the case of the tact), the stimulus must be present (Horne & Lowe, 1996 ; Miguel, 2016 ). The inclusion of an echoic requirement during listener training, as described by Petursdottir et al. ( 2014 ), might therefore not be expected to have any effect. Therefore, the purpose of the current study was to further examine the role of echoics in the acquisition of tacts by exposing young participants to simultaneous presentation of visual stimuli and their spoken names, while including conditions that may more closely resemble typical parent-child interactions, before measuring the emergence of tact – and listener responses in subsequent probes. We included play-visits both at the onset of the study and throughout the visit, identified interesting stimuli (e.g., colorful characters, fruits, animals and plants) presented in a book format, and interspersed reinforcement during tact probes. We also assessed the participants’ listener and speaker skills (i.e., BiN) both at the onset and end of the experiment. Methods Participants, Setting, and Materials Participants were four typically developing children between 3 and 5 years old, recruited through word of mouth. Bennett was a bilingual (i.e. English and Russian) 5 years, 5 months-old-boy. Sessions with Bennett lasted approximately 1 month. Chris was 3 years, 11 months old, at the beginning of the study, and his participation lasted for 3 months. Isaac was 5 years, 4 months old. Isaac’s participation lasted approximately 2 months. Jacob was 5 years, 3 months at the beginning of the study, and was also bilingual (i.e., English and Spanish). Sessions with Jacob lasted approximately 3 months. The participants were included in the study after their parents/caregivers signed an university-approved consent form which stated the conditions of participation (e.g., session durations, withdrawal at any time, confidentiality, etc.). Sessions were conducted in a suitable location within the participants’ home (e.g., living room, dining room, or bedroom). They were also given choices about where they preferred to sit throughout the sessions (e.g., on the floor or at a table). Sessions with Bennett were typically held on the floor in the living room between the sofa and a TV with few additional objects in the room. Sessions with Chris were usually conducted on the floor in his bedroom, often with other toys present. Jacob preferred to sit by the cleared glass dining room table, and Isaac often chose to sit on the floor by the sofa in the living room. During the presentation of material, all unrelated electronic devices (e.g., TVs, tablets, etc.) were turned off. Parents were either present in the same room or in an adjacent room, and the doors were always open. Materials consisted of three sets of laminated booklets (i.e., with each set containing one book for stimulus pairing, tact and listener trials) in different colors (i.e., blue, green and yellow) that each corresponded to a condition (i.e., echoic, blocking and quiet). The booklets were roughly 15 cm x 13 cm in size, containing laminated pictures (i.e., 5 cm x 5 cm, and later 7 cm x 7 cm) of the stimuli attached with a Velcro® strip across the middle of the page. For the stimulus pairing trials, the pictures were placed in a single stimulus format in the middle of the page. For the tact and listener probes, the pictures were placed in an array in the middle of the book, with two pictures on each page, right next to each other. After the modifications (described below), the pictures during tact probes were presented identical to the stimulus pairing trials (i.e., single stimulus format) and were increased to 7 cm x 7 cm in size. On the front of the book, we attached a symbol that represented each condition. The echoic symbol was a picture of two stick figures with a speech bubble above each figure. The blocking condition was represented by a picture of the letters ABC, to illustrate the ABC song. Finally, the quiet condition was represented by a symbol of a stick figure face with a finger across the mouth as if it was saying “Shh.” In the room were also datasheets, star stickers (i.e., tokens), plastic boxes with lids that contained the prizes, and a laptop computer for video recording. The prize box contained items such as toys (e.g., stickers, spinning tops, slime, small cars, plastic dinosaurs, balloons) or snacks (e.g., Cheez-its®, Veggie sticks®, Goldfish®) or other small items that parents had stated their child preferred. Experimental stimuli consisted of 12 pictures of objects from four categories (i.e., fruits, plants, animals, and characters) divided into three sets of four and paired with experimenter defined names. The pictures and names of the stimuli were selected based on criteria of logical analysis for equating sets in an adapted alternating treatments design (Cariveau et al. ( 2021 ). For example, the blue character was placed in a set with a black and white animal, a purple flower and a yellow fruit (see Table 2 ). In addition to the experimental, one category of familiar stimuli (i.e., farm animals and forest animals) was used for training purposes and for interspersal of reinforcement during probes. Additionally, 3-D Masters of the Universe® characters were used when probing for BiN. During experimental sessions, the experimenter and participants sat facing each other, with the experimental material also visible to the camera. Sessions were conducted one to four times per week and lasted approximately 1 hour. Participants were given breaks throughout and upon request, and sessions were terminated if any participant indicated that they did not want to participate. Data Collection and Experimental Design The primary dependent measures were the percentage of emergent tact and listener responses. Emergent tacts were defined as saying the correct name in the presence of the relevant stimulus during tact probes. Approximations to the target response were accepted if the response contained the main components of the experimenter-defined name (Esch et al., 2010 ). For example, a response such as “Chamyean” for “Chameleon” was accepted. A response was recorded as incorrect if it was incomplete (E.g., “Cha” for “Chameleon”), the name of another stimulus, a synonym or a feature or the stimulus, or if no response occurred. Emergent listener responses were defined as correct selections of stimuli, given their dictated names, from a stimulus array. Additional dependent measures were the percentage of trials with the participants’ prompted and unprompted echoic responses across conditions, and the percentage of trials in which participants immediately correctly engaged in the vocal blocking response (i.e., immediate singing). We evaluated the effects of stimulus pairing across three experimental conditions on correct responding during tact and listener probes using an adapted alternating treatments design (AATD; Sindelar et al., 1985 ). This design allowed for a comparison of two or more independent variables and their effects on unique, but equated target sets (Cariveau et al., 2021 ). To control for threats to internal validity we added a baseline measure and counterbalanced equated sets across presentations. An experimental session was defined as the presentation of stimulus pairing trials in any condition, followed by a post-condition tact probe, except for listener probes, which were administered at the beginning and very end of the experiment. Therefore, one visit could contain up to three sessions, which included stimulus pairing and tact probes in a specific condition (i.e., echoic, blocking and quiet conditions). During treatment, the presentation order of the conditions was randomized across participants, and stimulus pairing for each condition consisted of eight pairing trials. For example, the order of conditions during stimulus pairing for the first participant was echoic, quiet, blocking, while for the second participant it was blocking, quiet, echoic and for the third participant it was quiet, echoic, blocking, and so on (see Table 2 ). Each block of stimulus pairing trials was immediately followed by a tact probe, containing eight trials, in which each stimulus was presented twice. Sessions would continue until the participants either (a) met the emergence criterion during tact probes (i.e., 100% correct across two consecutive probes) (b) demonstrated no upward trend during probes for four consecutive visits, or (c) did not respond with a single correct response during probes for six consecutive sessions. Bidirectional Naming (BiN) Assessment We conducted a brief assessment of the participants’ BiN skills prior to conducting any experimental procedures (i.e., during the initial visit). Assessments are commonly structured by presenting stimuli successively followed by a predetermined interval between 1–2 hours, before a tact probe was conducted (Cahill & Greer, 2014 ; Hotchkiss & Fienup, 2020 ; Longano & Greer, 2014 ; Pérez-González et al., 2014 ). In the current study, we introduced three unfamiliar 3D characters (i.e., “Hi [Name]!) and allowed participants to play with them for 30 seconds, after which we removed them from view (i.e., “Bye [Name]”), for a total of two exposures to the characters’ names. This exposure was followed by a 10-minute interval with play with other items, before tact, and listener probes were conducted. During the tact probes, the experimenter brought out each character and asked the participant, “What did I call this one?” or “What was his name again?”, once per character. Responses were scored as correct if they contained most components of the character name and could easily be discerned (see criteria for echoic probe below), and incorrect if they did not, or if there was no response after 5 s. During the listener probe, the experimenter arranged the characters in an array, asked “Where is [Name]?” or “Can you help me find [Name]?”, once per character, and rotated the array between each trial. A correct response was recorded if the participants pointed to, picked up or touched the relevant character. An incorrect response was recorded if the participants picked up, touched, or pointed to a different character, or if they did not provide a response. If the participant picked up or pointed to two objects (i.e., with no clear response) at the same time, the trial was repeated once more. Responses (i.e., correct, and incorrect) during these probes were followed by neutral statements (e.g., “thanks for showing me” or “Ok, cool”). Pre-Experimental Probes Echoic probes (Esch et al., 2013) were conducted to ensure participants could correctly echo all experimental stimuli. This probe consisted of a single presentation of each object name, in the absence of the respective visual stimulus. The experimenter would say, “Hey, I’m just wondering if you can say [Stimulus Name]?”. If the participants did not immediately echo the stimulus, the experimenter repeated that trial once attending was secured, and until a response was made. Tact probes for each set were conducted once prior to the introduction of the stimulus pairing, and immediately after stimulus pairing in each condition. The probes consisted of three blocks (i.e., one block per stimulus set) with eight trials each, in which each target was presented twice. The experimenter presented each stimulus individually by flipping through the book and asking, “What is it?” or “What is this one called?”. Responses to the target stimuli were followed by non-differential neutral statements (e.g., “Ok”, “Thank you”). Every third trial was interspersed with familiar stimuli (i.e., farm and forest animals). Correct responses to familiar stimuli were followed by praise (e.g., “Great job!” or “That is a [Name]!”), and one token (i.e., sticker). Participants moved on to the stimulus pairing procedure only if they scored 0% accurate during baseline tact probes of for each set (i.e., corresponding to each condition). If any participant responded accurately to any stimulus during baseline tact probes, the stimulus set was replaced with a different set of stimuli and tested following the same procedure. Once stimulus pairing trials with each set was introduced to the participants, emergence criterion for tacts was set at 100% correct responses during tact probes. To assess the emergence of listener behavior following the stimulus pairing procedure, we conducted listener probes twice: once at the onset of the study (i.e., prior to stimulus pairing sessions) and again at the end of the study (i.e., after stimulus pairing sessions were concluded). The listener probe consisted of three blocks of eight trials, in which each stimulus was presented twice in an array of four. The array was counterbalanced across trials, and across probes. For example, stimulus “1”, “2”, “3” and “4” were presented as 1, 2, 3, 4 and 3, 1, 4, 2 and 4, 3, 2, 1 and 2, 4, 1, 3. The experimenter flipped through the book and asked the participant “Where is [Name]?” or “Show me where [Name] is”. Responses were recorded as correct if the participant pointed to or placed a hand over the relevant stimulus, given the experimenter-defined name of the stimulus, and followed by no-differential neutral statements (e.g., “Thank you”, or “Ok”.). Trial interspersal with familiar stimuli were identical to the tact probes. The progression criteria at the onset of the experiment (i.e., baseline probes) was set at 25% or lower correct selections (i.e., chance responding). Emergence criterion for listener responses, following the completion of all stimulus pairing sessions, was set at 100% correct selections from the array. Pre-Training A pre-training phase was conducted to familiarize participants with the procedure and reduce potential discrimination errors across conditions (Miller et al, 2021 ). During this phase, participants were exposed to the same conditions (i.e., echoic, blocking and quiet condition) as during subsequent stimulus pairing trials (described below). However, training trials were conducted with familiar stimuli (i.e., common animals). Correct responses during pre-training were defined as: immediate engagement in the blocking response (i.e., singing) during the blocking condition, immediate repetition of the auditory stimulus (i.e., spoken name of the stimulus) during the echoic condition, and immediate refrainment from engaging in any vocal responses during the quiet condition. The pre-training trials were introduced as a game, and the experimenter said: “Whoever can follow the rules the best wins the game!”. To “win the game” in each condition, the participant had to echo the most names in the echoic condition, sing the fastest in the blocking condition, and be the quietest in the quiet condition. If the participant followed instructions relevant to the condition in 100% of trials, they could exchange their tokens (i.e., eight tokens per condition) for a prize from the box. Training continued until instructions were followed in 100% of trials. Once this was achieved, the stimulus pairing phase of the experiment would begin. Stimulus Pairing Following pre-training, each pairing phase began with the experimenter providing the instruction that corresponded with each condition (i.e., echoic, blocking, and quiet) or asked the participant to state the instruction for the relevant condition (e.g., “Now we are going to look in the blue book!. Do you remember what we do when we look in the blue book?”). This was intended to evoke an observing response which may enhance stimulus control across conditions (Grow & LeBlanc, 2013). The order of conditions for the first exposure was conducted according to the counterbalancing procedure (i.e., see Table 1 ). After the first exposure, the order was decided by a draw, in which each condition was written down on a piece of paper, folded up and placed in a cup. A second person picked one at a time until a sequence was established. During trials across all three conditions, the experimenter presented the visual stimuli (i.e., pictures of fruits, animals, plants and characters) and their experimenter-defined names simultaneously. However, the duration each picture remained visible (i.e., the length of time before the experimenter closed the book) was set at three seconds across all conditions, regardless of the response required (i.e., echoing, singing or being quiet). Participants received one token (e.g., stickers) for completing all eight trials of stimulus pairing, and could continue collecting tokens (i.e., five tokens in total) for completing subsequent tact probes. Prior to each trial, the experimenter waited until the participant was looking at the book or at the experimenter and occasionally asked the participant if they were ready. Once the participant was attending, the experimenter flipped the page and presented the picture stimulus for that trial by holding the book up towards the participant. Each stimulus was presented individually for three seconds, before closing the book and reassessing attention for the next trial. Once all the eight stimulus pairing trials, and tact probe trials, were completed in one condition, participants would exchange their stars for an item from the box, and the experimenter asked the participant if they wanted to continue with the next book (i.e., condition). If they said yes, the experimenter would ask the participants to put away any toys and pick up the next book in the order of conditions. This was repeated until all conditions in the particular order were completed once, or the participant requested the session to be done. If the participants requested to be done, the experimenter would pack the books away and give the participant an option to play for 5–10 min before ending the visit. If the visit ended without the presentation of all three conditions, the sequence would continue during the following visit. For example, if the order of presentations was the echoic condition, followed by the quiet and blocking condition, and only the echoic condition was presented, the next visit would begin with the quiet condition, followed by the blocking condition, and the next condition in the order decided by the draw. Stimulus pairing trials continued until either emergence criterion for tact probes were met (i.e., 100% correct responses across two consecutive probes), no upward trend in tact probe performance was detected for four consecutive sessions, or no correct responses occurred during tact probes for six consecutive sessions. Additionally, we introduced a modification package (described below) when correct responses during tact probes did not increase after three consecutive probes. Echoic condition . During the echoic condition, the experimenter said: “In this book, we repeat the names after we hear them,” before presenting each trial as described in the stimulus pairing procedure. If the participants did not echo the name, the experimenter closed the book after the predetermined interval (i.e., three seconds), and say “Oh, remember, we need to repeat the name”, and moved on to the next trial. Any responses other than echoic responses (i.e., questions or statements about features of the stimuli) were followed by neutral statements (i.e., “I’m not sure” or “Ok, thanks for telling me”). All responses other than echoic responses were recorded as incorrect. Blocking condition . Prior to presenting stimuli in the blocking condition, the experimenter and participant would agree on a song to sing for that session. The experimenter would ask the participant “What song are we going to sing today?”. If the participant wanted to sing a song that was unfamiliar to the experimenter, the experimenter would ask if they could practice the song together. The experimenter pointed to the symbol and asked, “What do we do in this book?” If the participant did not respond immediately, the experimenter said, “Once we hear the names, we need to start singing right away!” and occasionally modeled by singing the song briefly. The experimenter then flipped the page, stated the name of the pictures, and immediately started singing for the whole duration of the presentation (i.e., three seconds). If the participant did not immediately sing, the experimenter reminded the participant that, “Next time, we need to start singing even faster!”, and the trial was recorded as incorrect. Quiet Condition. Before presenting the stimuli in the quiet condition, the experimenter asked the participants “What do we do in this book?”. If the participant did not “We have to be super quiet after hearing the name!” and occasionally prompted being quiet by placing a finger over the mouth (i.e., be quiet). Any responses during this condition were followed by neutral statements, and reminders to “Not say anything” or “We have to be super quiet”, once the trial had ended. Modification 1 . We introduced a modification package if no increasing trend was observed across three sessions. Although all participants were looking at the pictures once the experimenter flipped the page, they also tended to look at the experimenter’s face or other objects in the environment for parts of the trial, and we suspected that they were not sufficiently attending to the visual stimuli for the stimulus pairing to be effective. Additionally, the presentation of stimulus pairing – and tact probe trials in separate books often resulted in long breaks (i.e., 10–15 minutes) between the presentation of stimuli and subsequent tact probe. The modification package therefore consisted of several changes intended to increase attention to the stimuli and reduce distractions (i.e., delays between pairing and probe trials; Arntzen & Mensah, 2020 ). We increased the size of the pictures, and introduced each stimulus by saying, “The next one is [Name]! or “Here comes [Name]” while pointing to them during the stimulus pairing trials. We presented tact probe trials in a single stimulus format, rather than a stimulus array of four, and combined the previously separate books (i.e., stimulus pairing trials and probe trials) into one book to reduce the delay between the two presentations. Finally, we provided the participants a “learning statement” (e.g., “We need to learn the names of the stimuli to get our prizes!”). Modification 2. We made additional modifications for Isaac after no increasing trend in accurate tact responses was observed for three consecutive sessions following Modification 1 (see Results below). Modification 2 consisted of allowing the participant to flip the pages between each trial while seated right next to the experimenter with the book either on the floor, or in the participant’s lap. This was done as an attempt to increase participants’ engagement and attendance to the task. Interobserver Agreement (IOA) and Procedural Fidelity (PF) A second independent observer collected IOA across a minimum of 80% of sessions across participants. Agreements consisted of both observers recording the same response for a trial. The percentage was calculated by dividing the total number of agreements by the total number of agreements and disagreements, multiplied by 100. The average agreement was 98.9% (range, 87.5% to 100%) for Bennett, 98.5% (range, 75% to 100%) for Isaac, 98.9% (range, 88% to 100%) for Chris, 98.5% and finally, 98.2% (range, 88% to 100%) for Jacob. Low IOA scores were obtained during the initial session with Isaac as a result of disagreements on whether the participant followed instructions relevant to each condition. Procedural fidelity was also assessed across a minimum of 80% of sessions for all participants. Average fidelity scores were 97.9%, (range, 64% to 100%) for Bennett, 96.3% (range, 87.5% to 100%) for Isaac, 98.2% (range, 92% to 100%) for Jacob, and 98.7% (range, 96% to 100%) for Chris. This score was calculated by dividing the number of correct opportunities by the total number of opportunities, multiplied by 100. The low procedural fidelity scores for Bennett occurred only during the first implementation by a second experimenter. Errors mainly consisted of not providing non-differential neutral statements following the participants’ responses during stimulus pairing trials (e.g., experimenter saying “yes” or “good” instead of “ok”), and were rectified immediately following the implementation due to in-vivo data collection. However, the fidelity errors did not have an apparent effect on Bennett’s responses during this session when compared to other participants (i.e., all participants scored 25% or lower) and were therefore included in the study. Results Data for all four participants, Bennett, Chris, Isaac and Jacob, are depicted in Figs. 1–4. The top panel of each graph shows the percentage of correct responses during tact probes across all three conditions: echoic, quiet, and blocking. The second panel depicts the percentage of trials with echoic responses during stimulus pairing phases across conditions. The third panel depicts the percentage of trials with correct engagement in the vocal blocking response during stimulus pairing across conditions. Finally, the bottom panel depicts the percentage of correct listener responses to the experimental stimuli, prior to – and following exposure to the stimulus pairing procedure. None of the participants could tact the experimental stimuli prior to the intervention. After exposure to the pairing trials, some tacts began occurring during probes following stimulus pairing trials in all conditions. Following Modification 1, Bennett, Jacob and Chris all scored at 100% during tact probes following the echoic condition at least once, although only Bennett and Jacob reached emergence criterion (i.e., 100% correct across two consecutive probes), after seven and twelve exposures, respectively. Chris responded with 100% accuracy during tact probes following the echoic condition first, however, he eventually met the emergence criterion following the quiet condition. For Isaac, tacts also emerged immediately following exposures to stimuli in the echoic – and quiet condition, before stabilizing (i.e., at around 37.4%). Modification 1 only resulted in one additional accurate tact, before a decrease in correct responding occurred across all conditions. Modification 2 did not result in any further increases, and sessions with Isaac were discontinued. Correct tacts during probes of the blocking set stabilized at or below 50% for Bennett, Jacob and Isaac. Chris responded accurately during 75% of trials during three different probes, however, responding never reached 100% accuracy during that condition. All participants echoed overtly during pairing trials in the echoic condition (second panel). Bennett, Jacob, and Isaac did so reliably (i.e., 100% of trials every session), while Chris did so variably (i.e., 100% of trials in four out of 11 sessions). Chris also overtly echoed in at least 50% of trials in the Quiet condition, while Bennett and Jacob did so in no more than 37.4% and 25% respectively at any given time. Isaac never echoed overtly during any of the trials in the Quiet condition. Prior to introducing Modification 1, all participants reliably engaged in the incompatible response (i.e., singing) during stimulus pairing trials in the blocking condition (third panel). However, once the modification was implemented, frequent delays in the onset of singing occurred across all participants, which resulted in a decrease in the percentage of trials with correct engagement in the incompatible response. The largest decrease in correct engagement during this condition was observed for Chris, and Jacob with 25% and 50% correct engagement respectively, for at least one session. Prior to the intervention, participants could accurately select the experimental stimuli when given their names in no more than 25% of listener trials. Following all stimulus pairing trials, Bennett, Chris and Jacob selected the correct stimulus in the echoic set in 100% of trials, while Chris did so in the Quiet set as well. Bennett, Jacob and Isaac all selected the correct stimulus in 50% of trials during the listener probe of the blocking set, while Chris did so in 75% of trials (fourth panel). The results from Bennet, Jacob, Chris and Isaac’s BiN probes conducted at the very beginning of the study are shown in Fig. 5. None of the participants responded accurately during tact probes of the characters names, however, all participants demonstrated 100% correct selections during listener probes. Chris and Jacob echoed the names when presented with the characters in 12.5% of trials, while Bennett echoed during 50% of pairing trials, and Isaac never echoed overtly during any of the trials. Discussion The purpose of the study was to further examine the role of echoics in the acquisition of tacts after exposing them to simultaneous presentations of visual stimuli and their spoken names. As a result, three out of four participants demonstrated full emergence of tacts (i.e., 100% accuracy across two consecutive tact probes) in at least one condition. Additionally, a clear differentiation across conditions was observed for three out of the four participants, with emergence occurring sooner after exposures to conditions in which the participants had the opportunity to engage in echoic responses while observing the experimenter name the stimuli, compared to when participants were prevented from doing so. Moreover, across all conditions, tact emergence co-occurred with engagement of echoics and no emission of the incompatible response. It is possible that when participants did not sing, they could have echoed stimulus names covertly during the delay (Harman, 2017). The current study differed from previous experiments (Miller et al., 2021; Petursdottir et al., 2020) in that we included several variables intended to make the procedure more closely resemble natural interactions between child and caregivers (Horne & Lowe, 1996). For example, we utilized colorful stimuli from different categories of objects (i.e., fruits, plants, characters, and animals) that likely were interesting and socially significant to the participants. It has been proposed that both visual and auditory stimuli need to have certain properties such that looking, listening, and imitating (i.e., vocally) is reinforced, even in the absence of social mediation (Kleinert‐Ventresca et al., 2023; Longano & Greer, 2014). For example, Cortez et al. (2025) found that children acquired tacts in fewer trial blocks when they were presented with high-preferred stimuli, compared to low-preferred stimuli, and that responding to high-preferred stimuli resulted in greater emergence of other verbal relations. Although we did not assess for preference for the experimental stimuli used in this study, we anecdotally observed participants asking questions about them, commenting on their features, and asking to take out the pictures from the book, which could serve as an indication of potential reinforcing qualities (Frampton et al., 2024) We also included play sessions throughout the study to pair the experimenters with reinforcement. This is a recommendation both within applied behavior analysis and across fields to establish rapport (Carr et al., 1993; Gurland & Grolnick, 2008; Lugo et al., 2017) which seems to lead to better outcomes in therapeutic relationships (Curry et al., 2019; Parsons et al., 2016). Some indices of rapport described in the literature include whether the child maintains close proximity to the adult and follows the adult’s instructions, in addition to the child’s joint attention to objects and events (Abuladze, 2018). Even though we did not directly measure rapport, parents reported that their children would regularly ask for visits by the experimenters, indicating that they were motivated to participate and engage. Thus, stimulus presentations by an experimenter, rather than computers (i.e., as in previous research), may have facilitated the emergence of tacts. Future research should directly manipulate rapport as a variable to evaluate its effect on incidental learning, such as tact emergence. The addition of reinforcement interspersal likely aided in maintaining responding and reducing potential aversive qualities of the procedure (Dunlap & Koegel, 1980; LeBlanc et al., 2003; Meindl et al., 2020). Several of the participants often stated that they were excited to win the prizes from the box, and occasionally stated that they preferred trials with familiar stimuli. This was especially true for Jacob during the tact probes in the blocking condition, during which he stated that the questions were difficult. We made some additional modifications to the procedure if participants did not demonstrate an increasing trend in tact accuracy after three consecutive sessions, which was the case for all participants. The components of the modification were intended to make the procedure more natural and to ensure that participants were attending to the stimuli. We included an antecedent statement (e.g., “Remember that we need to learn the names to get our prizes!”), increased the size of the pictures, presented them like a story (e.g., “And here comes [Name]! or “The next one is [Name]!”), and pointed to the picture during their presentation. The learning statement was intended to provide a contingency for attending to the stimulus during pairing trials, and for responding accurately during tact probes. We included this component to address the tendency of several participants to answer incorrectly during tact probes while laughing, given that the procedure did not include programmed differential consequences for correct or incorrect responses. The increases in tact emergence following these modifications suggest that presenting objects and their names simultaneously may not be sufficient to produce criterion level emergence of novel tacts unless certain behaviors (e.g., attending) and other variables (e.g., motivation) are also in place as predicted by the literature on language acquisition (Horne & Lowe, 1996; Miguel, 2016). Future research should evaluate the effectiveness and necessity of each and all components included in our modifications. Note that for Bennett, Jacob and Chris, the introduction of Modification 1 increased tact emergence in the Blocking set, while singing decreased. When participants did not immediately sing after the presentation of stimuli, it resulted in a delay that may have been large enough for covert echoics to occur in the presence of the pictures. It is possible that these participants echoed covertly during this delay and thus demonstrated emergence in this set during subsequent tact probes. The fact that some tacts emerged in the blocking condition across participants could also suggest that the incompatible response did not serve to block all covert echoics (Ratkos & Camacho, 2023). Given that the blocking response (i.e., children’s songs) was typically the same for each participant across sessions, over time it may have no longer been incompatible with covert echoics. We chose children’s songs that the participants likely knew (i.e., common nursery rhymes), to ensure that they were able to sing immediately, and throughout the whole pairing trial. Although some research has provided evidence that singing prevents verbal mediation from occurring (Clough et al., 2016), our procedure may not have completely done so. Future research could systematically vary the songs, or even implement different types of responses, such as counting or saying the alphabet backwards (Arntzen & Vie, 2013; Degraaf & Schlinger, 2012; Gutierrez, 2006). It is also interesting that tact emergence in the Quiet set was not as readily demonstrated by several participants (i.e., Bennett, Jacob and Isaac). Their accurate responses in tact probes of the Quiet set remained at 50% or below, which could be explained by the instruction suppressing covert echoic responses during pairing trials. However, this remains speculative given that we saw some overt echoics during this condition, which seemed correlated with tact emergence (i.e., see data for Chris’s overt echoic responses during the quiet condition). Finally, participants’ performance on BiN probes does not seem to correlate with subsequent emergence of tacts following the stimulus pairing procedure. Although all participants demonstrated skills related to BiN and should have learned through exposure, tact emergence occurred faster during subsequent stimulus pairing trials for some participants (e.g., Bennett), despite not demonstrating higher percentages of correct tact or listener responses during initial BiN probes compared to other participants (e.g., Isaac). This could mean that our BiN probe procedure was not able to produce evidence of these skills. In fact, there is no current consensus on how to assess BiN repertoires (Sivaraman & Barnes-Holmes, 2023). It is possible that our experimental procedures served to evoke all the necessary components of BiN (i.e., echoic, listener – and tact responses), which lead to the emergence of tacts. Thus, future research should further evaluate whether exposing participants to pairings while requiring echoics is sufficient for the establishment of generalized BiN. The fact that Isaac’s responses never met the criterion (i.e., 100% correct responses during tact probes) in any of the conditions was likely a function of the irregularity of his visits due to his unavailability. He was also observed to shift his attention away from the stimuli more frequently than other participants and engage in other behaviors (i.e., fidgeting, spinning around, and talking about unrelated topics). Thus, it is unclear whether Isaac’s correct responses were under control of the picture during probes (i.e., tact response) or if he was simply repeating the words he had heard in the pairing condition. It is possible that the stimuli may not have been preferred by Isaac, and his attention to them may not have been sufficient for the emergence of tacts following this exposure. Future research could address this issue by including a preference assessment for selecting target stimuli (Cortez et al., 2025) and incorporating additional strategies to secure attention, such as requiring participants to engage with the stimuli. Our procedure was designed to resemble the learning experiences young children encounter. However, the translational nature of the study likely did not capture everything that happens in typical caregiver-child interactions (Horne & Lowe, 1996). For instance, the repetitive nature of both pairing – and probe trials (i.e., several presentations of stimuli in one session), while ensuring equal exposure time across multiple trials – and sets of stimuli (i.e., a total of 48 trials across three conditions) within a single session, may still represent a relatively analogue presentation of stimuli, and therefore limit the ecological validity of this study (Fahmie et al., 2023). Errors observed during tact probes may therefore be due to motivational variables, weak stimulus control exerted by the experimental stimuli, or both. These findings highlight the issues with studying behavioral phenomena under conditions that differ from those where the behavior of interest occurs in general (Anderson & Bushman, 1997). Future research should investigate procedures in which trials can be conducted incidentally, perhaps contingent on the child’s attention to the material, while still requiring responses like the ones described in this study. Despite the abovementioned limitations, our results support the idea that echoic responding during exposures to stimulus names results in tact emergence, a conclusion that has been challenged (Petursdottir, 2023). Thus, it is possible that failures to demonstrate the facilitative role of the echoic in the emergence of tacts (Byrne et al., 2014; Dressel et al., 2019; Miller et al., 2021; Petursdottir et al., 2020) may have been an artifact of the procedures utilized to isolate its effects. When some of the variables that are present during typical child-caregiver interactions were added, tacts emerged and did so more reliably when overt echoic responses occurred. Thus, future research should design procedures that would mimic the natural environment even more closely. Although this study attempted to contribute to the conceptual analysis of the development of verbal behavior, the findings may also have important applied implications. Future research should explore the effectiveness of requiring echoics during both listener training and stimulus pairing presentations on the emergence of tacts and listener behavior consistent with a generalized bidirectional naming repertoire (Miguel, 2016). Declarations Funding: No funds were received to conduct this study. Conflicts of Interest/Competing Interests: The authors have no conflicts of interest. Availability of Data/Material: All data are available upon request. Code Availability: Not applicable. Ethics Approval : All procedures and recruitment protocols were approved by the university’s Institutional Review Board (IRB). Consent to Participation/Consent to Publish: Informed consent was provided by all participants in the study. Author Note This study is based on a thesis submitted by the first author under the supervision of the second author to the Department of Psychology at California State University, Sacramento in partial fulfillment of the requirements for a M.S. in Applied Behavior Analysis. We would like to thank the Verbal Behavior Special Interest Group (VBSIG) of the Association for Behavior Analysis International (ABAI) for the student research grant awarded to the first author. Correspondence concerning this article should be addressed to Caio Miguel, Department of Psychology, California State University, Sacramento, 6000 J Street, Sacramento, CA 95819. 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Perspectives on Behavior Science , 46 (3), 585-615. https://doi.org/10.1007/s40614-023-00374-1 Sundberg, M. L., Michael, J., Partington, J. W., & Sundberg, C. A. (1996). The role of automatic reinforcement in early language acquisition. Anal Verbal Behav , 13 , 21-37. https://doi.org/10.1007/bf03392904 Table Table 1 Counterbalancing of Conditions Participants Set 1 Set 2 Set 3 Bennett Blocking Echoic Quiet Jacob Echoic NRR Blocking Chris Quiet Blocking Echoic Isaac Blocking Echoic NRR Note. Counterbalancing of conditions across participants and sets. Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7745112","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":522479106,"identity":"18f9f5b2-2d5b-4f11-9737-98a782d65353","order_by":0,"name":"Thea S. 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Data depict Bennett’s responses during tact probes (top panel), overt echoic responses during stimulus pairing (second panel), engagement in the incompatible response (i.e., singing; third panel), and listener responses (bottom panel).\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-7745112/v1/41426613f8da5f7437c87b1d.png"},{"id":92496268,"identity":"afad5993-d8fc-4a30-8c05-efab749ed53c","added_by":"auto","created_at":"2025-09-30 10:26:17","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":61751,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eResults for Jacob\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eNote\u003c/em\u003e. Data depict Jacob’s responses during tact probes (top panel), overt echoic responses during stimulus pairing (second panel), engagement in the incompatible response (i.e., singing; third panel), and listener responses (bottom panel)\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-7745112/v1/8e56d67f282030ddd0493da7.png"},{"id":92497860,"identity":"72866d5a-c492-4226-8900-71b72dcd6e08","added_by":"auto","created_at":"2025-09-30 10:42:17","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":83218,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eResults for Chris\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eNote\u003c/em\u003e. Data depict Chris’s responses during tact probes (top panel), overt echoic responses during stimulus pairing (second panel), engagement in the incompatible response (i.e., singing; third panel), and listener responses (bottom panel.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-7745112/v1/a4d9f3ecf086b45a83b4c627.png"},{"id":92496270,"identity":"b076a76a-b27f-4260-826b-46d13caec118","added_by":"auto","created_at":"2025-09-30 10:26:17","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":76292,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eResults for Isaac\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eNote\u003c/em\u003e. Data depict Isaac’s responses during tact probes (top panel), overt echoic responses during stimulus pairing (second panel), engagement in the incompatible response (i.e., singing; third panel), and listener responses (bottom panel)\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-7745112/v1/5aa926e4a9ec4238b88d4d95.png"},{"id":92496272,"identity":"d3845bc6-7afb-4822-898f-46390aab0e73","added_by":"auto","created_at":"2025-09-30 10:26:17","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":106427,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eResults From BiN-Probes Across Participants\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eNote\u003c/em\u003e. Graph depicts echoic, tact and listener responses during BiN-Probes across all participants, Bennett, Isaac, Chris, and Jacob.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-7745112/v1/17f250eb29687c213029ba5d.png"},{"id":92498184,"identity":"fd31cf32-af84-479f-9d38-403651c86a61","added_by":"auto","created_at":"2025-09-30 10:50:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1101717,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7745112/v1/6951d6ed-b710-456c-8d7e-6dd728ac37a4.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003ch1\u003e\u003cstrong\u003eThe Role of The Echoic in the Acquisition of Tacts: A Bidirectional Naming Account\u003c/strong\u003e\u003c/h1\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eEarly childhood language development is often characterized by a \u0026ldquo;language explosion\u0026rdquo; during which children learn many new words over a short period of time (Fenson et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e1994\u003c/span\u003e). Between the ages of 20 to 36 months, their average cumulative vocabulary may spurt from around 200 (at 20 months) to 1200 (at 36 months) words (Hart \u0026amp; Risley, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1995\u003c/span\u003e). Even though the sudden nature of this acquisition may seem magical, the behavioral mechanisms responsible for its occurrence are often linked to specific events and interactions between children and their caregivers (Greer \u0026amp; Speckman, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Hart \u0026amp; Risley, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1995\u003c/span\u003e; Horne \u0026amp; Lowe, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e1996\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eHorne and Lowe (\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e1996\u003c/span\u003e) identified several behaviors to be necessary for this \u0026ldquo;language explosion.\u0026rdquo; As early as the first few days of life (Eimas et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e1971\u003c/span\u003e), newborns may discriminate between speech and non-speech sounds, and between their native language and other languages (Moon et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e1993\u003c/span\u003e). These speech sounds, especially those of the mother, may get established as effective reinforcers (Mehler et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e1978\u003c/span\u003e). Prior to speaking about objects, events, or actions, caregivers often make observations about what the child is looking at, pointing to, or engaging with before reinforcing the child\u0026rsquo;s attention to them (e.g., \u0026ldquo;You see big sister?\u0026rdquo; Yes, you do!\u0026rdquo; or \u0026ldquo;Look, Teddy Bear needs a hug!\u0026rdquo;). Such joint attention (Holth, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Miguel, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) may later occasion the child to point to objects and events, and in turn lead the caregiver to model appropriate behaviors related to many different objects in the environment (i.e., conventional listener behavior). Towards the end of their first year, infants may learn to reproduce parts of, or complete vocal verbal behavior of others around them (Oller et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e1976\u003c/span\u003e). The reproduction of words and sounds may be automatically reinforced (Miguel et al., \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2002\u003c/span\u003e; Sundberg et al., \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e1996\u003c/span\u003e). Thus, through series of interactions between caregiver and child, the echoic behavior might generalize to many novel sounds (i.e., generalized echoic repertoire). This repertoire seems to play a crucial role in facilitating the establishment of new verbal relations, as children can repeat what parents are saying in the presence of the objects being talked about. Therefore, the objects and events that are present when the child engages in echoic behavior may acquire functional control over the child\u0026rsquo;s specific verbal topography, leading to the development of the tact (Horne \u0026amp; Lowe, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Miguel, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). These contingencies are responsible for the development of a generalized bidirectional naming repertoire in that when learning what objects are called, children can attend to them while echoing their name, which would lead to their rapid vocabulary expansion (Horne \u0026amp; Lowe, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e1996\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eHowever, research attempting to isolate the functional role of the echoic during such experiences have yielded mixed results, both with measures of co-variation (Byrne et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Delfs et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Haq et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) and experimental manipulation (Ezell \u0026amp; Goldstein, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e1989\u003c/span\u003e; Hawkins et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Olaff et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Some of these studies (Hawkins et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Miller et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) assessed the emergent of tacts after requiring participants to echo the names of experimental stimuli during either speaker or listener training, or by creating opportunities to echo the stimulus name in its presence. Hawkins et al. (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2009\u003c/span\u003e), for instance, investigated the effects of MEI with an added echoic requirement on the acquisition of speaker and listener behavior in three children with autism. They required the participants to either echo or sign the auditory sample before pointing to the correct stimulus (e.g., participants echoed or signed \u0026ldquo;horse\u0026rdquo; before pointing to the picture of the horse). Participants demonstrated increases in untaught responses across all four response topographies (i.e., matching to sample, tact, intraverbal and point) following MEI alone, however, it was not until the echoic or sign response requirement was added that participants reached mastery during listener, tact, and intraverbal probes.\u003c/p\u003e\u003cp\u003eConversely, Petursdottir et al. (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) conducted listener training (i.e., MTS) with four typically developing children and found no enhanced effects on emergent verbal relations (i.e., correct foreign tacts and intraverbals) when adding an echoic and native-language tact requirement (i.e., collateral response requirement) to their listener training, compared to listener training alone. During the collateral response training condition that included the echoic requirement, the experimenters presented Japanese spoken words and required an echoic response before presenting the pictures of written Japanese signs (i.e., the comparison stimuli were not visible until the participant performed the echoic response) and prompting correct selection of the written Japanese word. The results showed that some of the participants reached the mastery criterion during tact probes faster after receiving standard listener training than the listener training with added response requirements.\u003c/p\u003e\u003cp\u003eMore recently, a series of studies (Miller et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) attempted to determine the role of the echoic in the emergence of tacts when exposing children to a procedure intended to mimic the experiences they encounter when learning new words incidentally. Petursdottir et al. (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), exposed four typically developing children to contiguous presentations of pictures of birds and their spoken names, such as \u0026ldquo;kiskadee\u0026rdquo; and \u0026ldquo;catbird,\u0026rdquo; in a multiple probe design with two conditions (i.e., word-first and image-first). The experimenters hypothesized that the word-first condition, in which the participants were exposed to the spoken name of the bird prior to its picture, would provide a greater opportunity to echo the name of the bird in the presence of the picture rather than echoing the name of the bird after the presentation of the picture, as in the image-first condition. The results indicated participant responding at chance levels, despite engaging in frequent echoic responses across conditions. Petursdottir et al. conducted subsequent experiments to address potential limitations (i.e., limited attention to stimuli), however, results were similar to Experiment 1 with no significant difference on tact probes across the two presentation orders.\u003c/p\u003e\u003cp\u003eIn a follow-up study, Miller et al. (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) included a blocking procedure, hypothesized to prevent echoic responses from occurring. Five 3- to 5-year-olds were exposed to simultaneous presentations of auditory and visual stimuli across three conditions that were alternated, an echoic condition, a blocking condition, and a no-response requirement (NRR) condition. Stimuli consisted of pictures of flags presented on different colored backgrounds on a computer screen. Depending on the condition, participants were asked to either repeat the spoken name of the picture (i.e., echoic condition), tact the color of the background of the picture (i.e., blocking condition), or do nothing specific (no-response requirement condition; NRR). Results showed that only one participant emitted higher percentages of correct tacts after the echoic condition compared to the blocking and NRR conditions. However, none of the participants demonstrated full emergence in any condition (i.e., 100% accuracy during tact probes). It is possible that participant\u0026rsquo;s responses were due to the low discriminability between conditions (i.e., some participants echoed during the blocking condition) and lack of reinforcement (i.e., quality of stimuli or during probes). The study also did not include measures of listener responses, although participants\u0026rsquo; age and listener repertoires (i.e., as measured by PPVT-4) would suggest that they had all the necessary skills to learn tacts incidentally (i.e., BiN). Most importantly, the study was conducted under conditions that may not resemble those encountered in early childhood language acquisition as described above.\u003c/p\u003e\u003cp\u003eOther reasons why previous studies (Byrne et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; C. Delfs et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Ezell \u0026amp; Goldstein, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e1989\u003c/span\u003e; Haq et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Miller et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Olaff et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) have produced mixed results may be related to procedural variations such as the study design, and presentation order or format. For example, several studies (Hawkins et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Petursdottir et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) reported that their manipulation required participants to echo the auditory stimuli in the absence of the visual stimuli, a potential problem considering that for a nonverbal stimulus to acquire functional control over verbal responses (i.e., as in the case of the tact), the stimulus must be present (Horne \u0026amp; Lowe, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Miguel, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). The inclusion of an echoic requirement during listener training, as described by Petursdottir et al. (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2014\u003c/span\u003e), might therefore not be expected to have any effect.\u003c/p\u003e\u003cp\u003e Therefore, the purpose of the current study was to further examine the role of echoics in the acquisition of tacts by exposing young participants to simultaneous presentation of visual stimuli and their spoken names, while including conditions that may more closely resemble typical parent-child interactions, before measuring the emergence of tact \u0026ndash; and listener responses in subsequent probes. We included play-visits both at the onset of the study and throughout the visit, identified interesting stimuli (e.g., colorful characters, fruits, animals and plants) presented in a book format, and interspersed reinforcement during tact probes. We also assessed the participants\u0026rsquo; listener and speaker skills (i.e., BiN) both at the onset and end of the experiment.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eParticipants, Setting, and Materials\u003c/h2\u003e\u003cp\u003eParticipants were four typically developing children between 3 and 5 years old, recruited through word of mouth. Bennett was a bilingual (i.e. English and Russian) 5 years, 5 months-old-boy. Sessions with Bennett lasted approximately 1 month. Chris was 3 years, 11 months old, at the beginning of the study, and his participation lasted for 3 months. Isaac was 5 years, 4 months old. Isaac\u0026rsquo;s participation lasted approximately 2 months. Jacob was 5 years, 3 months at the beginning of the study, and was also bilingual (i.e., English and Spanish). Sessions with Jacob lasted approximately 3 months. The participants were included in the study after their parents/caregivers signed an university-approved consent form which stated the conditions of participation (e.g., session durations, withdrawal at any time, confidentiality, etc.).\u003c/p\u003e\u003cp\u003eSessions were conducted in a suitable location within the participants\u0026rsquo; home (e.g., living room, dining room, or bedroom). They were also given choices about where they preferred to sit throughout the sessions (e.g., on the floor or at a table). Sessions with Bennett were typically held on the floor in the living room between the sofa and a TV with few additional objects in the room. Sessions with Chris were usually conducted on the floor in his bedroom, often with other toys present. Jacob preferred to sit by the cleared glass dining room table, and Isaac often chose to sit on the floor by the sofa in the living room. During the presentation of material, all unrelated electronic devices (e.g., TVs, tablets, etc.) were turned off. Parents were either present in the same room or in an adjacent room, and the doors were always open.\u003c/p\u003e\u003cp\u003eMaterials consisted of three sets of laminated booklets (i.e., with each set containing one book for stimulus pairing, tact and listener trials) in different colors (i.e., blue, green and yellow) that each corresponded to a condition (i.e., echoic, blocking and quiet). The booklets were roughly 15 cm x 13 cm in size, containing laminated pictures (i.e., 5 cm x 5 cm, and later 7 cm x 7 cm) of the stimuli attached with a Velcro\u0026reg; strip across the middle of the page. For the stimulus pairing trials, the pictures were placed in a single stimulus format in the middle of the page. For the tact and listener probes, the pictures were placed in an array in the middle of the book, with two pictures on each page, right next to each other. After the modifications (described below), the pictures during tact probes were presented identical to the stimulus pairing trials (i.e., single stimulus format) and were increased to 7 cm x 7 cm in size. On the front of the book, we attached a symbol that represented each condition. The echoic symbol was a picture of two stick figures with a speech bubble above each figure. The blocking condition was represented by a picture of the letters ABC, to illustrate the ABC song. Finally, the quiet condition was represented by a symbol of a stick figure face with a finger across the mouth as if it was saying \u0026ldquo;Shh.\u0026rdquo;\u003c/p\u003e\u003cp\u003eIn the room were also datasheets, star stickers (i.e., tokens), plastic boxes with lids that contained the prizes, and a laptop computer for video recording. The prize box contained items such as toys (e.g., stickers, spinning tops, slime, small cars, plastic dinosaurs, balloons) or snacks (e.g., Cheez-its\u0026reg;, Veggie sticks\u0026reg;, Goldfish\u0026reg;) or other small items that parents had stated their child preferred.\u003c/p\u003e\u003cp\u003eExperimental stimuli consisted of 12 pictures of objects from four categories (i.e., fruits, plants, animals, and characters) divided into three sets of four and paired with experimenter defined names. The pictures and names of the stimuli were selected based on criteria of logical analysis for equating sets in an adapted alternating treatments design (Cariveau et al. (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). For example, the blue character was placed in a set with a black and white animal, a purple flower and a yellow fruit (see Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). In addition to the experimental, one category of familiar stimuli (i.e., farm animals and forest animals) was used for training purposes and for interspersal of reinforcement during probes. Additionally, 3-D Masters of the Universe\u0026reg; characters were used when probing for BiN.\u003c/p\u003e\u003cp\u003eDuring experimental sessions, the experimenter and participants sat facing each other, with the experimental material also visible to the camera. Sessions were conducted one to four times per week and lasted approximately 1 hour. Participants were given breaks throughout and upon request, and sessions were terminated if any participant indicated that they did not want to participate.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eData Collection and Experimental Design\u003c/h3\u003e\n\u003cp\u003eThe primary dependent measures were the percentage of emergent tact and listener responses. Emergent tacts were defined as saying the correct name in the presence of the relevant stimulus during tact probes. Approximations to the target response were accepted if the response contained the main components of the experimenter-defined name (Esch et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). For example, a response such as \u0026ldquo;Chamyean\u0026rdquo; for \u0026ldquo;Chameleon\u0026rdquo; was accepted. A response was recorded as incorrect if it was incomplete (E.g., \u0026ldquo;Cha\u0026rdquo; for \u0026ldquo;Chameleon\u0026rdquo;), the name of another stimulus, a synonym or a feature or the stimulus, or if no response occurred. Emergent listener responses were defined as correct selections of stimuli, given their dictated names, from a stimulus array. Additional dependent measures were the percentage of trials with the participants\u0026rsquo; prompted and unprompted echoic responses across conditions, and the percentage of trials in which participants immediately correctly engaged in the vocal blocking response (i.e., immediate singing).\u003c/p\u003e\u003cp\u003eWe evaluated the effects of stimulus pairing across three experimental conditions on correct responding during tact and listener probes using an adapted alternating treatments design (AATD; Sindelar et al., \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e1985\u003c/span\u003e). This design allowed for a comparison of two or more independent variables and their effects on unique, but equated target sets (Cariveau et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). To control for threats to internal validity we added a baseline measure and counterbalanced equated sets across presentations.\u003c/p\u003e\u003cp\u003eAn experimental session was defined as the presentation of stimulus pairing trials in any condition, followed by a post-condition tact probe, except for listener probes, which were administered at the beginning and very end of the experiment. Therefore, one visit could contain up to three sessions, which included stimulus pairing and tact probes in a specific condition (i.e., echoic, blocking and quiet conditions). During treatment, the presentation order of the conditions was randomized across participants, and stimulus pairing for each condition consisted of eight pairing trials. For example, the order of conditions during stimulus pairing for the first participant was echoic, quiet, blocking, while for the second participant it was blocking, quiet, echoic and for the third participant it was quiet, echoic, blocking, and so on (see Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Each block of stimulus pairing trials was immediately followed by a tact probe, containing eight trials, in which each stimulus was presented twice. Sessions would continue until the participants either (a) met the emergence criterion during tact probes (i.e., 100% correct across two consecutive probes) (b) demonstrated no upward trend during probes for four consecutive visits, or (c) did not respond with a single correct response during probes for six consecutive sessions.\u003c/p\u003e\n\u003ch3\u003eBidirectional Naming (BiN) Assessment\u003c/h3\u003e\n\u003cp\u003eWe conducted a brief assessment of the participants\u0026rsquo; BiN skills prior to conducting any experimental procedures (i.e., during the initial visit). Assessments are commonly structured by presenting stimuli successively followed by a predetermined interval between 1\u0026ndash;2 hours, before a tact probe was conducted (Cahill \u0026amp; Greer, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Hotchkiss \u0026amp; Fienup, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Longano \u0026amp; Greer, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; P\u0026eacute;rez-Gonz\u0026aacute;lez et al., \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). In the current study, we introduced three unfamiliar 3D characters (i.e., \u0026ldquo;Hi [Name]!) and allowed participants to play with them for 30 seconds, after which we removed them from view (i.e., \u0026ldquo;Bye [Name]\u0026rdquo;), for a total of two exposures to the characters\u0026rsquo; names. This exposure was followed by a 10-minute interval with play with other items, before tact, and listener probes were conducted. During the tact probes, the experimenter brought out each character and asked the participant, \u0026ldquo;What did I call this one?\u0026rdquo; or \u0026ldquo;What was his name again?\u0026rdquo;, once per character. Responses were scored as correct if they contained most components of the character name and could easily be discerned (see criteria for echoic probe below), and incorrect if they did not, or if there was no response after 5 s. During the listener probe, the experimenter arranged the characters in an array, asked \u0026ldquo;Where is [Name]?\u0026rdquo; or \u0026ldquo;Can you help me find [Name]?\u0026rdquo;, once per character, and rotated the array between each trial. A correct response was recorded if the participants pointed to, picked up or touched the relevant character. An incorrect response was recorded if the participants picked up, touched, or pointed to a different character, or if they did not provide a response. If the participant picked up or pointed to two objects (i.e., with no clear response) at the same time, the trial was repeated once more. Responses (i.e., correct, and incorrect) during these probes were followed by neutral statements (e.g., \u0026ldquo;thanks for showing me\u0026rdquo; or \u0026ldquo;Ok, cool\u0026rdquo;).\u003c/p\u003e\n\u003ch3\u003ePre-Experimental Probes\u003c/h3\u003e\n\u003cp\u003e Echoic probes (Esch et al., 2013) were conducted to ensure participants could correctly echo all experimental stimuli. This probe consisted of a single presentation of each object name, in the absence of the respective visual stimulus. The experimenter would say, \u0026ldquo;Hey, I\u0026rsquo;m just wondering if you can say [Stimulus Name]?\u0026rdquo;. If the participants did not immediately echo the stimulus, the experimenter repeated that trial once attending was secured, and until a response was made.\u003c/p\u003e\u003cp\u003eTact probes for each set were conducted once prior to the introduction of the stimulus pairing, and immediately after stimulus pairing in each condition. The probes consisted of three blocks (i.e., one block per stimulus set) with eight trials each, in which each target was presented twice. The experimenter presented each stimulus individually by flipping through the book and asking, \u0026ldquo;What is it?\u0026rdquo; or \u0026ldquo;What is this one called?\u0026rdquo;. Responses to the target stimuli were followed by non-differential neutral statements (e.g., \u0026ldquo;Ok\u0026rdquo;, \u0026ldquo;Thank you\u0026rdquo;). Every third trial was interspersed with familiar stimuli (i.e., farm and forest animals). Correct responses to familiar stimuli were followed by praise (e.g., \u0026ldquo;Great job!\u0026rdquo; or \u0026ldquo;That is a [Name]!\u0026rdquo;), and one token (i.e., sticker). Participants moved on to the stimulus pairing procedure only if they scored 0% accurate during baseline tact probes of for each set (i.e., corresponding to each condition). If any participant responded accurately to any stimulus during baseline tact probes, the stimulus set was replaced with a different set of stimuli and tested following the same procedure. Once stimulus pairing trials with each set was introduced to the participants, emergence criterion for tacts was set at 100% correct responses during tact probes.\u003c/p\u003e\u003cp\u003eTo assess the emergence of listener behavior following the stimulus pairing procedure, we conducted listener probes twice: once at the onset of the study (i.e., prior to stimulus pairing sessions) and again at the end of the study (i.e., after stimulus pairing sessions were concluded). The listener probe consisted of three blocks of eight trials, in which each stimulus was presented twice in an array of four. The array was counterbalanced across trials, and across probes. For example, stimulus \u0026ldquo;1\u0026rdquo;, \u0026ldquo;2\u0026rdquo;, \u0026ldquo;3\u0026rdquo; and \u0026ldquo;4\u0026rdquo; were presented as 1, 2, 3, 4 and 3, 1, 4, 2 and 4, 3, 2, 1 and 2, 4, 1, 3. The experimenter flipped through the book and asked the participant \u0026ldquo;Where is [Name]?\u0026rdquo; or \u0026ldquo;Show me where [Name] is\u0026rdquo;. Responses were recorded as correct if the participant pointed to or placed a hand over the relevant stimulus, given the experimenter-defined name of the stimulus, and followed by no-differential neutral statements (e.g., \u0026ldquo;Thank you\u0026rdquo;, or \u0026ldquo;Ok\u0026rdquo;.). Trial interspersal with familiar stimuli were identical to the tact probes. The progression criteria at the onset of the experiment (i.e., baseline probes) was set at 25% or lower correct selections (i.e., chance responding). Emergence criterion for listener responses, following the completion of all stimulus pairing sessions, was set at 100% correct selections from the array.\u003c/p\u003e\n\u003ch3\u003ePre-Training\u003c/h3\u003e\n\u003cp\u003eA pre-training phase was conducted to familiarize participants with the procedure and reduce potential discrimination errors across conditions (Miller et al, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). During this phase, participants were exposed to the same conditions (i.e., echoic, blocking and quiet condition) as during subsequent stimulus pairing trials (described below). However, training trials were conducted with familiar stimuli (i.e., common animals). Correct responses during pre-training were defined as: immediate engagement in the blocking response (i.e., singing) during the blocking condition, immediate repetition of the auditory stimulus (i.e., spoken name of the stimulus) during the echoic condition, and immediate refrainment from engaging in any vocal responses during the quiet condition. The pre-training trials were introduced as a game, and the experimenter said: \u0026ldquo;Whoever can follow the rules the best wins the game!\u0026rdquo;. To \u0026ldquo;win the game\u0026rdquo; in each condition, the participant had to echo the most names in the echoic condition, sing the fastest in the blocking condition, and be the quietest in the quiet condition. If the participant followed instructions relevant to the condition in 100% of trials, they could exchange their tokens (i.e., eight tokens per condition) for a prize from the box. Training continued until instructions were followed in 100% of trials. Once this was achieved, the stimulus pairing phase of the experiment would begin.\u003c/p\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003eStimulus Pairing\u003c/h2\u003e\u003cp\u003eFollowing pre-training, each pairing phase began with the experimenter providing the instruction that corresponded with each condition (i.e., echoic, blocking, and quiet) or asked the participant to state the instruction for the relevant condition (e.g., \u0026ldquo;Now we are going to look in the blue book!. Do you remember what we do when we look in the blue book?\u0026rdquo;). This was intended to evoke an observing response which may enhance stimulus control across conditions (Grow \u0026amp; LeBlanc, 2013). The order of conditions for the first exposure was conducted according to the counterbalancing procedure (i.e., see Table \u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). After the first exposure, the order was decided by a draw, in which each condition was written down on a piece of paper, folded up and placed in a cup. A second person picked one at a time until a sequence was established.\u003c/p\u003e\u003cp\u003eDuring trials across all three conditions, the experimenter presented the visual stimuli (i.e., pictures of fruits, animals, plants and characters) and their experimenter-defined names simultaneously. However, the duration each picture remained visible (i.e., the length of time before the experimenter closed the book) was set at three seconds across all conditions, regardless of the response required (i.e., echoing, singing or being quiet). Participants received one token (e.g., stickers) for completing all eight trials of stimulus pairing, and could continue collecting tokens (i.e., five tokens in total) for completing subsequent tact probes.\u003c/p\u003e\u003cp\u003ePrior to each trial, the experimenter waited until the participant was looking at the book or at the experimenter and occasionally asked the participant if they were ready. Once the participant was attending, the experimenter flipped the page and presented the picture stimulus for that trial by holding the book up towards the participant. Each stimulus was presented individually for three seconds, before closing the book and reassessing attention for the next trial. Once all the eight stimulus pairing trials, and tact probe trials, were completed in one condition, participants would exchange their stars for an item from the box, and the experimenter asked the participant if they wanted to continue with the next book (i.e., condition). If they said yes, the experimenter would ask the participants to put away any toys and pick up the next book in the order of conditions. This was repeated until all conditions in the particular order were completed once, or the participant requested the session to be done. If the participants requested to be done, the experimenter would pack the books away and give the participant an option to play for 5\u0026ndash;10 min before ending the visit. If the visit ended without the presentation of all three conditions, the sequence would continue during the following visit. For example, if the order of presentations was the echoic condition, followed by the quiet and blocking condition, and only the echoic condition was presented, the next visit would begin with the quiet condition, followed by the blocking condition, and the next condition in the order decided by the draw.\u003c/p\u003e\u003cp\u003eStimulus pairing trials continued until either emergence criterion for tact probes were met (i.e., 100% correct responses across two consecutive probes), no upward trend in tact probe performance was detected for four consecutive sessions, or no correct responses occurred during tact probes for six consecutive sessions. Additionally, we introduced a modification package (described below) when correct responses during tact probes did not increase after three consecutive probes.\u003c/p\u003e\u003cp\u003e\u003cb\u003eEchoic condition\u003c/b\u003e. During the echoic condition, the experimenter said: \u0026ldquo;In this book, we repeat the names after we hear them,\u0026rdquo; before presenting each trial as described in the stimulus pairing procedure. If the participants did not echo the name, the experimenter closed the book after the predetermined interval (i.e., three seconds), and say \u0026ldquo;Oh, remember, we need to repeat the name\u0026rdquo;, and moved on to the next trial. Any responses other than echoic responses (i.e., questions or statements about features of the stimuli) were followed by neutral statements (i.e., \u0026ldquo;I\u0026rsquo;m not sure\u0026rdquo; or \u0026ldquo;Ok, thanks for telling me\u0026rdquo;). All responses other than echoic responses were recorded as incorrect.\u003c/p\u003e\u003cp\u003e\u003cb\u003eBlocking condition\u003c/b\u003e. Prior to presenting stimuli in the blocking condition, the experimenter and participant would agree on a song to sing for that session. The experimenter would ask the participant \u0026ldquo;What song are we going to sing today?\u0026rdquo;. If the participant wanted to sing a song that was unfamiliar to the experimenter, the experimenter would ask if they could practice the song together. The experimenter pointed to the symbol and asked, \u0026ldquo;What do we do in this book?\u0026rdquo; If the participant did not respond immediately, the experimenter said, \u0026ldquo;Once we hear the names, we need to start singing right away!\u0026rdquo; and occasionally modeled by singing the song briefly. The experimenter then flipped the page, stated the name of the pictures, and immediately started singing for the whole duration of the presentation (i.e., three seconds). If the participant did not immediately sing, the experimenter reminded the participant that, \u0026ldquo;Next time, we need to start singing even faster!\u0026rdquo;, and the trial was recorded as incorrect.\u003c/p\u003e\u003cp\u003e\u003cb\u003eQuiet Condition.\u003c/b\u003e Before presenting the stimuli in the quiet condition, the experimenter asked the participants \u0026ldquo;What do we do in this book?\u0026rdquo;. If the participant did not \u0026ldquo;We have to be super quiet after hearing the name!\u0026rdquo; and occasionally prompted being quiet by placing a finger over the mouth (i.e., be quiet). Any responses during this condition were followed by neutral statements, and reminders to \u0026ldquo;Not say anything\u0026rdquo; or \u0026ldquo;We have to be super quiet\u0026rdquo;, once the trial had ended.\u003c/p\u003e\u003cp\u003e\u003cb\u003eModification 1\u003c/b\u003e. We introduced a modification package if no increasing trend was observed across three sessions. Although all participants were looking at the pictures once the experimenter flipped the page, they also tended to look at the experimenter\u0026rsquo;s face or other objects in the environment for parts of the trial, and we suspected that they were not sufficiently attending to the visual stimuli for the stimulus pairing to be effective. Additionally, the presentation of stimulus pairing \u0026ndash; and tact probe trials in separate books often resulted in long breaks (i.e., 10\u0026ndash;15 minutes) between the presentation of stimuli and subsequent tact probe.\u003c/p\u003e\u003cp\u003eThe modification package therefore consisted of several changes intended to increase attention to the stimuli and reduce distractions (i.e., delays between pairing and probe trials; Arntzen \u0026amp; Mensah, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). We increased the size of the pictures, and introduced each stimulus by saying, \u0026ldquo;The next one is [Name]! or \u0026ldquo;Here comes [Name]\u0026rdquo; while pointing to them during the stimulus pairing trials. We presented tact probe trials in a single stimulus format, rather than a stimulus array of four, and combined the previously separate books (i.e., stimulus pairing trials and probe trials) into one book to reduce the delay between the two presentations. Finally, we provided the participants a \u0026ldquo;learning statement\u0026rdquo; (e.g., \u0026ldquo;We need to learn the names of the stimuli to get our prizes!\u0026rdquo;).\u003c/p\u003e\u003cp\u003e\u003cb\u003eModification 2.\u003c/b\u003e We made additional modifications for Isaac after no increasing trend in accurate tact responses was observed for three consecutive sessions following Modification 1 (see Results below). Modification 2 consisted of allowing the participant to flip the pages between each trial while seated right next to the experimenter with the book either on the floor, or in the participant\u0026rsquo;s lap. This was done as an attempt to increase participants\u0026rsquo; engagement and attendance to the task.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eInterobserver Agreement (IOA) and Procedural Fidelity (PF)\u003c/h3\u003e\n\u003cp\u003eA second independent observer collected IOA across a minimum of 80% of sessions across participants. Agreements consisted of both observers recording the same response for a trial. The percentage was calculated by dividing the total number of agreements by the total number of agreements and disagreements, multiplied by 100. The average agreement was 98.9% (range, 87.5% to 100%) for Bennett, 98.5% (range, 75% to 100%) for Isaac, 98.9% (range, 88% to 100%) for Chris, 98.5% and finally, 98.2% (range, 88% to 100%) for Jacob. Low IOA scores were obtained during the initial session with Isaac as a result of disagreements on whether the participant followed instructions relevant to each condition.\u003c/p\u003e\u003cp\u003e Procedural fidelity was also assessed across a minimum of 80% of sessions for all participants. Average fidelity scores were 97.9%, (range, 64% to 100%) for Bennett, 96.3% (range, 87.5% to 100%) for Isaac, 98.2% (range, 92% to 100%) for Jacob, and 98.7% (range, 96% to 100%) for Chris. This score was calculated by dividing the number of correct opportunities by the total number of opportunities, multiplied by 100. The low procedural fidelity scores for Bennett occurred only during the first implementation by a second experimenter. Errors mainly consisted of not providing non-differential neutral statements following the participants\u0026rsquo; responses during stimulus pairing trials (e.g., experimenter saying \u0026ldquo;yes\u0026rdquo; or \u0026ldquo;good\u0026rdquo; instead of \u0026ldquo;ok\u0026rdquo;), and were rectified immediately following the implementation due to in-vivo data collection. However, the fidelity errors did not have an apparent effect on Bennett\u0026rsquo;s responses during this session when compared to other participants (i.e., all participants scored 25% or lower) and were therefore included in the study.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eData for all four participants, Bennett, Chris, Isaac and Jacob, are depicted in Figs.\u0026nbsp;1\u0026ndash;4. The top panel of each graph shows the percentage of correct responses during tact probes across all three conditions: echoic, quiet, and blocking. The second panel depicts the percentage of trials with echoic responses during stimulus pairing phases across conditions. The third panel depicts the percentage of trials with correct engagement in the vocal blocking response during stimulus pairing across conditions. Finally, the bottom panel depicts the percentage of correct listener responses to the experimental stimuli, prior to \u0026ndash; and following exposure to the stimulus pairing procedure.\u003c/p\u003e\u003cp\u003e None of the participants could tact the experimental stimuli prior to the intervention. After exposure to the pairing trials, some tacts began occurring during probes following stimulus pairing trials in all conditions. Following Modification 1, Bennett, Jacob and Chris all scored at 100% during tact probes following the echoic condition at least once, although only Bennett and Jacob reached emergence criterion (i.e., 100% correct across two consecutive probes), after seven and twelve exposures, respectively. Chris responded with 100% accuracy during tact probes following the echoic condition first, however, he eventually met the emergence criterion following the quiet condition. For Isaac, tacts also emerged immediately following exposures to stimuli in the echoic \u0026ndash; and quiet condition, before stabilizing (i.e., at around 37.4%). Modification 1 only resulted in one additional accurate tact, before a decrease in correct responding occurred across all conditions. Modification 2 did not result in any further increases, and sessions with Isaac were discontinued. Correct tacts during probes of the blocking set stabilized at or below 50% for Bennett, Jacob and Isaac. Chris responded accurately during 75% of trials during three different probes, however, responding never reached 100% accuracy during that condition.\u003c/p\u003e\u003cp\u003eAll participants echoed overtly during pairing trials in the echoic condition (second panel). Bennett, Jacob, and Isaac did so reliably (i.e., 100% of trials every session), while Chris did so variably (i.e., 100% of trials in four out of 11 sessions). Chris also overtly echoed in at least 50% of trials in the Quiet condition, while Bennett and Jacob did so in no more than 37.4% and 25% respectively at any given time. Isaac never echoed overtly during any of the trials in the Quiet condition.\u003c/p\u003e\u003cp\u003ePrior to introducing Modification 1, all participants reliably engaged in the incompatible response (i.e., singing) during stimulus pairing trials in the blocking condition (third panel). However, once the modification was implemented, frequent delays in the onset of singing occurred across all participants, which resulted in a decrease in the percentage of trials with correct engagement in the incompatible response. The largest decrease in correct engagement during this condition was observed for Chris, and Jacob with 25% and 50% correct engagement respectively, for at least one session.\u003c/p\u003e\u003cp\u003e Prior to the intervention, participants could accurately select the experimental stimuli when given their names in no more than 25% of listener trials. Following all stimulus pairing trials, Bennett, Chris and Jacob selected the correct stimulus in the echoic set in 100% of trials, while Chris did so in the Quiet set as well. Bennett, Jacob and Isaac all selected the correct stimulus in 50% of trials during the listener probe of the blocking set, while Chris did so in 75% of trials (fourth panel).\u003c/p\u003e\u003cp\u003eThe results from Bennet, Jacob, Chris and Isaac\u0026rsquo;s BiN probes conducted at the very beginning of the study are shown in Fig.\u0026nbsp;5. None of the participants responded accurately during tact probes of the characters names, however, all participants demonstrated 100% correct selections during listener probes. Chris and Jacob echoed the names when presented with the characters in 12.5% of trials, while Bennett echoed during 50% of pairing trials, and Isaac never echoed overtly during any of the trials.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe purpose of the study was to further examine the role of echoics in the acquisition of tacts after exposing them to simultaneous presentations of visual stimuli and their spoken names. As a result, three out of four participants demonstrated full emergence of tacts (i.e., 100% accuracy across two consecutive tact probes) in at least one condition. Additionally, a clear differentiation across conditions was observed for three out of the four participants, with emergence occurring sooner after exposures to conditions in which the participants had the opportunity to engage in echoic responses while observing the experimenter name the stimuli, compared to when participants were prevented from doing so. Moreover, across all conditions, tact emergence co-occurred with engagement of echoics and no emission of the incompatible response. It is possible that when participants did not sing, they could have echoed stimulus names covertly during the delay (Harman, 2017).\u003c/p\u003e\n\u003cp\u003eThe current study differed from previous experiments (Miller et al., 2021; Petursdottir et al., 2020) in that we included several variables intended to make the procedure more closely resemble natural interactions between child and caregivers (Horne \u0026amp; Lowe, 1996). For example, we utilized colorful stimuli from different categories of objects (i.e., fruits, plants, characters, and animals) that likely were interesting and socially significant to the participants. It has been proposed that both visual and auditory stimuli need to have certain properties such that looking, listening, and imitating (i.e., vocally) is reinforced, even in the absence of social mediation (Kleinert‐Ventresca et al., 2023; Longano \u0026amp; Greer, 2014). For example, Cortez et al. (2025) found that children acquired tacts in fewer trial blocks when they were presented with high-preferred stimuli, compared to low-preferred stimuli, and that responding to high-preferred stimuli resulted in greater emergence of other verbal relations. Although we did not assess for preference for the experimental stimuli used in this study, we anecdotally observed participants asking questions about them, commenting on their features, and asking to take out the pictures from the book, which could serve as an indication of potential reinforcing qualities (Frampton et al., 2024)\u003c/p\u003e\n\u003cp\u003eWe also included play sessions throughout the study to pair the experimenters with reinforcement. This is a recommendation both within applied behavior analysis and across fields to establish rapport (Carr et al., 1993; Gurland \u0026amp; Grolnick, 2008; Lugo et al., 2017) which seems to \u0026nbsp;lead to better outcomes in therapeutic relationships (Curry et al., 2019; Parsons et al., 2016). Some indices of rapport described in the literature include whether the child maintains close proximity to the adult and follows the adult’s instructions, in addition to the child’s joint attention to objects and events (Abuladze, 2018). Even though we did not directly measure rapport, parents reported that their children would regularly ask for visits by the experimenters, indicating that they were motivated to participate and engage. Thus, stimulus presentations by an experimenter, rather than computers (i.e., as in previous research), may have facilitated the emergence of tacts. Future research should directly manipulate rapport as a variable to evaluate its effect on incidental learning, such as tact emergence.\u003c/p\u003e\n\u003cp\u003eThe addition of reinforcement interspersal likely aided in maintaining responding and reducing potential aversive qualities of the procedure (Dunlap \u0026amp; Koegel, 1980; LeBlanc et al., 2003; Meindl et al., 2020). Several of the participants often stated that they were excited to win the prizes from the box, and occasionally stated that they preferred trials with familiar stimuli. This was especially true for Jacob during the tact probes in the blocking condition, during which he stated that the questions were difficult.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;We made some additional modifications to the procedure if participants did not demonstrate an increasing trend in tact accuracy after three consecutive sessions, which was the case for all participants. The components of the modification were intended to make the procedure more natural and to ensure that participants were attending to the stimuli. We included an antecedent statement (e.g., “Remember that we need to learn the names to get our prizes!”), increased the size of the pictures, presented them like a story (e.g., “And here comes [Name]! or “The next one is [Name]!”), and pointed to the picture during their presentation. The learning statement was intended to provide a contingency for attending to the stimulus during pairing trials, and for responding accurately during tact probes. We included this component to address the tendency of several participants to answer incorrectly during tact probes while laughing, given that the procedure did not include programmed differential consequences for correct or incorrect responses. The increases in tact emergence following these modifications suggest that presenting objects and their names simultaneously may not be sufficient to produce criterion level emergence of novel tacts unless certain behaviors (e.g., attending) and other variables (e.g., motivation) are also in place as predicted by the literature on language acquisition (Horne \u0026amp; Lowe, 1996; Miguel, 2016).\u0026nbsp;Future research should evaluate the effectiveness and necessity of each and all components included in our modifications.\u003c/p\u003e\n\u003cp\u003eNote that for Bennett, Jacob and Chris, the introduction of Modification 1 increased tact emergence in the Blocking set, while singing decreased. When participants did not immediately sing after the presentation of stimuli, it resulted in a delay that may have been large enough for covert echoics to occur in the presence of the pictures. It is possible that these participants echoed covertly during this delay and thus demonstrated emergence in this set during subsequent tact probes.\u003c/p\u003e\n\u003cp\u003eThe fact that some tacts emerged in the blocking condition across participants could also suggest that the incompatible response did not serve to block all covert echoics (Ratkos \u0026amp; Camacho, 2023). Given that the blocking response (i.e., children’s songs) was typically the same for each participant across sessions, over time it may have no longer been incompatible with covert echoics. We chose children’s songs that the participants likely knew (i.e., common nursery rhymes), to ensure that they were able to sing immediately, and throughout the whole pairing trial. Although some research has provided evidence that singing prevents verbal mediation from occurring (Clough et al., 2016), our procedure may not have completely done so.\u0026nbsp;Future research could systematically vary the songs, or even implement different types of \u0026nbsp;responses, such as counting or saying the alphabet backwards (Arntzen \u0026amp; Vie, 2013; Degraaf \u0026amp; Schlinger, 2012; Gutierrez, 2006).\u003c/p\u003e\n\u003cp\u003eIt is also interesting that tact emergence in the Quiet set was not as readily demonstrated by several participants (i.e., Bennett, Jacob and Isaac). Their accurate responses in tact probes of the Quiet set remained at 50% or below, which could be explained by the instruction suppressing covert echoic responses during pairing trials. However, this remains speculative given that we saw some overt echoics during this condition, which seemed correlated with tact emergence (i.e., see data for Chris’s overt echoic responses during the quiet condition).\u003c/p\u003e\n\u003cp\u003eFinally, participants’ performance on BiN probes does not seem to correlate with subsequent emergence of tacts following the stimulus pairing procedure. Although all participants demonstrated skills related to BiN and should have learned through exposure, tact emergence occurred faster during subsequent stimulus pairing trials for some participants (e.g., Bennett), despite not demonstrating higher percentages of correct tact or listener responses during initial BiN probes compared to other participants (e.g., Isaac). This could mean that our BiN probe procedure was not able to produce evidence of these skills. In fact, there is no current consensus on how to assess BiN repertoires (Sivaraman \u0026amp; Barnes-Holmes, 2023). It is possible that our experimental procedures served to evoke all the necessary components of BiN (i.e., echoic, listener – and tact responses), which lead to the emergence of tacts. Thus, future research should further evaluate whether exposing participants to pairings while requiring echoics is sufficient for the establishment of generalized BiN.\u003c/p\u003e\n\u003cp\u003eThe fact that Isaac’s responses never met the criterion (i.e., 100% correct responses during tact probes) in any of the conditions was likely a function of the irregularity of his visits due to his unavailability. He was also observed to shift his attention away from the stimuli more frequently than other participants and engage in other behaviors (i.e., fidgeting, spinning around, and talking about unrelated topics). Thus, it is unclear whether Isaac’s correct responses were under control of the picture during probes (i.e., tact response) or if he was simply repeating the words he had heard in the pairing condition. It is possible that the stimuli may not have been preferred by Isaac, and his attention to them may not have been sufficient for the emergence of tacts following this exposure. Future research could address this issue by including a preference assessment for selecting target stimuli (Cortez et al., 2025) and incorporating additional strategies to secure attention, such as requiring participants to engage with the stimuli.\u003c/p\u003e\n\u003cp\u003eOur procedure was designed to resemble the learning experiences young children encounter. However, the translational nature of the study likely did not capture everything that happens in typical caregiver-child interactions (Horne \u0026amp; Lowe, 1996). For instance, the repetitive nature of both pairing – and probe trials (i.e., several presentations of stimuli in one session), while ensuring equal exposure time across multiple trials – and sets of stimuli (i.e., a total of 48 trials across three conditions) within a single session, may still represent a relatively analogue presentation of stimuli, and therefore limit the ecological validity of this study (Fahmie et al., 2023). Errors observed during tact probes may therefore be due to motivational variables, weak stimulus control exerted by the experimental stimuli, or both.\u0026nbsp;These findings highlight the issues with studying behavioral phenomena under conditions that differ from those where the behavior of interest occurs in general (Anderson \u0026amp; Bushman, 1997). Future research should investigate procedures in which trials can be conducted incidentally, perhaps contingent on the child’s attention to the material, while still requiring responses like the ones described in this study.\u003c/p\u003e\n\u003cp\u003eDespite the abovementioned limitations, our results support the idea that echoic responding during exposures to stimulus names results in tact emergence, a conclusion that has been challenged (Petursdottir, 2023). Thus, it is possible that failures to demonstrate the facilitative role of the echoic in the emergence of tacts (Byrne et al., 2014; Dressel et al., 2019; Miller et al., 2021; Petursdottir et al., 2020) may have been an artifact of the procedures utilized to isolate its effects. When some of the variables that are present during typical child-caregiver interactions were added, tacts emerged and did so more reliably when overt echoic responses occurred. Thus, future research should design procedures that would mimic the natural environment even more closely.\u003c/p\u003e\n\u003cp\u003eAlthough this study attempted to contribute to the conceptual analysis of the development of verbal behavior, the findings may also have important applied implications. Future research should explore the effectiveness of requiring echoics during both listener training and stimulus pairing presentations on the emergence of tacts and listener behavior consistent with a generalized bidirectional naming repertoire (Miguel, 2016).\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding:\u0026nbsp;\u003c/strong\u003eNo funds were received to conduct this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicts of Interest/Competing Interests:\u0026nbsp;\u003c/strong\u003eThe authors have no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of Data/Material:\u0026nbsp;\u003c/strong\u003eAll data are available upon request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCode Availability:\u0026nbsp;\u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics Approval\u003c/strong\u003e: All procedures and recruitment protocols were approved by the university’s Institutional Review Board (IRB).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent\u003c/strong\u003e \u003cstrong\u003eto Participation/Consent to Publish:\u0026nbsp;\u003c/strong\u003eInformed consent was provided by all participants in the study.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor Note\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study is based on a thesis submitted by the first author under the supervision of the second author to the Department of Psychology at California State University, Sacramento\u0026nbsp;in partial fulfillment of the requirements for a M.S. in Applied Behavior Analysis. We would like to thank the Verbal Behavior Special Interest Group (VBSIG) of the Association for Behavior Analysis International (ABAI) for the student research grant awarded to the first author.\u003c/p\u003e\n\u003cp\u003eCorrespondence concerning this article should be addressed to Caio Miguel, Department of Psychology, California State University, Sacramento, 6000 J Street, Sacramento, CA 95819. Email: [email protected]\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatement of Contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eConceptualization:\u003c/u\u003e Thea Engell, Caio Miguel, Karina Zhelezoglo, and Andresa de Souza; \u003cu\u003eMethodology:\u003c/u\u003e Thea Engell, Caio Miguel, Andresa de Souza, and Karina Zhelezoglo; \u003cu\u003eFormal analysis and investigation:\u0026nbsp;\u003c/u\u003eThea Engell, Caio Miguel, and Karina Zhelezoglo; Writing - original draft preparation\u003cu\u003e:\u003c/u\u003e Thea Engell and Caio Miguel; \u003cu\u003eWriting - review and editing\u003c/u\u003e: Thea Engell, Caio Miguel, Andresa de Souza, and Karina Zhelezoglo.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAbuladze, E. (2018). \u003cem\u003eBuilding rapport with children with autism: Unpublished master\u0026apos;s thesis \u003c/em\u003eCalifornia State University, Fresno ]. 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style=\"width: 97px;\"\u003e\n \u003cp\u003eSet 3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eBennett\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eBlocking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eEchoic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eQuiet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eJacob\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eEchoic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eNRR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eBlocking\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eChris\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eQuiet\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eBlocking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eEchoic\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eIsaac\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eBlocking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003eEchoic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eNRR\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" valign=\"top\" style=\"width: 510px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003cem\u003eNote.\u003c/em\u003e Counterbalancing of conditions across participants and sets.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cimg 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Sessions attempted to replicate typical parent-child interactions. For three out of the four participants, 100% accurate responding during tact probes occurred sooner after stimulus pairing conditions in which they could engage in echoic responses, compared to when they were prevented from echoing during stimulus pairing. The results seem to support a facilitative role of the echoic in the emergence of tacts. These findings have important implications for understanding typical language acquisition and for teaching verbal behavior to individuals who may experience deficits in this area.\u003c/p\u003e","manuscriptTitle":"The Role of The Echoic in the Acquisition of Tacts: A Bidirectional Naming Account","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-30 10:26:12","doi":"10.21203/rs.3.rs-7745112/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"f51fee3a-b480-40c9-9f46-a2535902d3c6","owner":[],"postedDate":"September 30th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":55533729,"name":"Psychology"}],"tags":[],"updatedAt":"2025-09-30T10:26:13+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-30 10:26:12","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7745112","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7745112","identity":"rs-7745112","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}