Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations with Embodied Agents in VR

Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations with Embodied Agents in VR | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Computer Animation and Virtual Worlds This is a preprint and has not been peer reviewed. Data may be preliminary. 25 April 2025 V1 Latest version Share on Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations with Embodied Agents in VR Authors : Sagar A. Vankit [email protected] , Vivian Genaro Motti , Tiffany D. Do , Samaneh Zamanifard , Deyrel Diaz , Andrew T. Duchowski , Bart P. Knijnenburg , and Matias Volonte 0000-0002-9423-3408 Authors Info & Affiliations https://doi.org/10.22541/au.174556087.73186722/v1 Published Computer Animation and Virtual Worlds Version of record Peer review timeline 305 views 193 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract [1]¿p#1 This study examines how subtitles and image visualizations influence gaze behavior, working alliance, and behavior change intentions in virtual health conversations with ECAs. Visualizations refer to images on a 3D model TV and text on a virtual whiteboard, both reinforcing key content conveyed by the ECA. Using a 2 × 2 factorial design, participants were randomly assigned to one of four conditions: no subtitles or visualizations (Control), subtitles only (SUB), visualizations only (VIS), or both subtitles and visualizations (VISSUB). Structural equation path modeling showed that SUB and VIS individually reduced gaze toward the ECA, while VISSUB moderated this reduction, resulting in less gaze loss than the sum of either condition alone. Gaze behavior was positively associated with working alliance, and perceptions of enjoyment and appropriateness influenced engagement, which in turn predicted behavior change intentions. VIS was negatively associated with behavior change intentions, suggesting that excessive visual input may introduce cognitive trade-offs. Supplementary Material File (casa_id12.pdf) Download 5.15 MB Information & Authors Information Version history V1 Version 1 25 April 2025 Peer review timeline Published Computer Animation and Virtual Worlds Version of Record 21 Jun 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Computer Animation and Virtual Worlds Keywords embodied conversational agents health behavior change multimodal communication structural equation modeling path analysis virtual reality visual attention Authors Affiliations Sagar A. Vankit [email protected] Clemson University View all articles by this author Vivian Genaro Motti George Mason University View all articles by this author Tiffany D. Do Drexel University View all articles by this author Samaneh Zamanifard Clemson University View all articles by this author Deyrel Diaz Clemson University View all articles by this author Andrew T. Duchowski Clemson University View all articles by this author Bart P. Knijnenburg Clemson University View all articles by this author Matias Volonte 0000-0002-9423-3408 Clemson University View all articles by this author Metrics & Citations Metrics Article Usage 305 views 193 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Sagar A. Vankit, Vivian Genaro Motti, Tiffany D. Do, et al. Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations with Embodied Agents in VR. Authorea . 25 April 2025. DOI: https://doi.org/10.22541/au.174556087.73186722/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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