ArticleScientific reports2019
Differences in facial expressions during positive anticipation and frustration in dogs awaiting a reward.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed, 98 citations in OpenAlex.
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- Assessment of Addictive Behavior in Rats with Partial Knockout of the Dopamine Transporter Gene.International journal of molecular sciences · 2026Article
- Can you read my poker-face? Adapting the still-face paradigm to explore dog's interspecific communication.Animal cognition · 2026Article
- Analysis of human-oriented facial signals of the domestic dog using eye tracker technology.Frontiers in veterinary science · 2026Article
- Development of a psychobiological nosology for fear and frustration in clinical animal behavior using dogs as a model species.Frontiers in psychology · 2026Article
- Human recognition of emotional valence and arousal of zoo animals.Scientific reports · 2025Article
- Investigating the capabilities of large vision language models in dog emotion recognition.Scientific reports · 2025Article
- Research Methods for the Analysis of Visual Emotion Cues in Animals: A Workshop Report.Animals : an open access journal from MDPI · 2025Article
- Automated analysis of emotional expressions in dogs based on geometric morphometrics.Scientific reports · 2025Article
- Differences in dogs' and wolves' human-directed greeting behaviour: facial expressions, body language, and the problem of human biases.Animal cognition · 2025Article
- Dog facial landmarks detection and its applications for facial analysis.Scientific reports · 2025Article
- Balancing Objectivity and Welfare: Physiological and Behavioural Responses of Guide Dogs During an Independent Certification Protocol.Animals : an open access journal from MDPI · 2025Article
- Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.BMC veterinary research · 2025Article
- A segment-based framework for explainability in animal affective computing.Scientific reports · 2025Article
- Modifying the Attention Bias Test to Assess the Emotional State of Dogs.Animals : an open access journal from MDPI · 2025Article
- If you blink at me, I'll blink back. Domestic dogs' feedback to conspecific visual cues.Royal Society open science · 2025Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Facial expressions are considered sensitive indicators of emotional states in humans and many animals. Identifying facial indicators of emotion is a major challenge and little systematic research has been done in non-primate species. In dogs, such research is important not only to address fundamental and applied scientific questions but also for practical reasons, since many problem behaviours are assumed to have an emotional basis, e.g. aggression based on frustration. Frustration responses can occur in superficially similar contexts as the emotional state of positive anticipation. For instance, the anticipated delivery of a food reward may induce the state of positive anticipation, but over time, if the food is not delivered, this will be replaced by frustration. We examined dogs' facial expressions in contexts presumed to induce both positive anticipation and frustration, respectively, within a single controlled experimental setting. Using DogFACS, an anatomically-based method for coding facial expressions of dogs, we found that the "Ears adductor" action was more common in the positive condition and "Blink", "Lips part", "Jaw drop", "Nose lick", and "Ears flattener" were more common in the negative condition. This study demonstrates how differences in facial expression in emotionally ambiguous contexts may be used to help infer emotional states of different valence.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.