Public perception of dog emotional and motivational states in videos: A cross-sectional analysis

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

Recognition and interpretation of dogs’ emotional and motivational states from visual behavioural signs are important for public safety and dog welfare. This study used an online survey to explore the ability of members of the public (n = 4,133) to recognise the underlying emotional or motivational states of dogs in silent videos (n=30). Participants scored each video for nine pre-determined emotional and motivational states on a scale from 0 to 15 and rated the relative difficulty of scoring each video. Participants could also select “I am uncertain” for individual states which translated to missing values. Public scores were compared with those of eleven dog behaviour experts. The states “nervous/anxious”, “stressed”, “relaxed”, “comfortable”, “playful”, “interested/curious”, “excited”, and “frustrated” showed high inter-expert agreement and were used in further analysis. “Boredom” was removed due to low inter-expert agreement. Principal components and cluster analyses on both datasets were used to collapse categories into two dimensions, identify groupings and compare overall perception. Results indicate similarity in perception of underlying states between public and experts. Correlation between expert difficulty rating, and both inter-expert agreement and public accuracy, indicates that experts effectively assessed the relative difficulty of determining underlying state. Members of the public perceived playful, excited, and curious dogs as easier to interpret than anxious and stressed dogs; however, this was not reflected in how accurately they scored videos (i.e., how different a participant’s scores were from the expert scores) and instead was reflected by how likely a participant was to score a video in full, rather than selecting that they were “uncertain” in response to any of the listed states. Findings of this study inform human behaviour change interventions to improve public interpretation of dog emotional and motivational states.
Full text 2,188 characters · extracted from oa-doi-fallback · click to expand
Abstract Recognition and interpretation of dogs’ emotional and motivational states from visual behavioural signs are important for public safety and dog welfare. This study used an online survey to explore the ability of members of the public (n = 4,133) to recognise the underlying emotional or motivational states of dogs in silent videos (n=30). Participants scored each video for nine pre-determined emotional and motivational states on a scale from 0 to 15 and rated the relative difficulty of scoring each video. Participants could also select “I am uncertain” for individual states which translated to missing values. Public scores were compared with those of eleven dog behaviour experts. The states “nervous/anxious”, “stressed”, “relaxed”, “comfortable”, “playful”, “interested/curious”, “excited”, and “frustrated” showed high inter-expert agreement and were used in further analysis. “Boredom” was removed due to low inter-expert agreement. Principal components and cluster analyses on both datasets were used to collapse categories into two dimensions, identify groupings and compare overall perception. Results indicate similarity in perception of underlying states between public and experts. Correlation between expert difficulty rating, and both inter-expert agreement and public accuracy, indicates that experts effectively assessed the relative difficulty of determining underlying state. Members of the public perceived playful, excited, and curious dogs as easier to interpret than anxious and stressed dogs; however, this was not reflected in how accurately they scored videos (i.e., how different a participant’s scores were from the expert scores) and instead was reflected by how likely a participant was to score a video in full, rather than selecting that they were “uncertain” in response to any of the listed states. Findings of this study inform human behaviour change interventions to improve public interpretation of dog emotional and motivational states. Competing Interest Statement All authors are (or were at the time of contributing) employees of Dogs Trust (www.dogstrust.org.uk), the UK's largest dog welfare charity. Footnotes ↵* Joint first author

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-4.0