ArticleAnimal cognition2023
The effect of repeated testing on judgement bias in domestic dogs (Canis familiaris).
Article in Animal cognition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Judgment Bias Responses in Domestic Dog Puppies at 60 Days of Age.Veterinary sciences · 2026Article
- A reliable and holistic approach to evaluating hearing and cognitive auditory processing in adult and aged companion dogs.Scientific reports · 2026Article
- Changes in cognitive performance following repeated exposure to a hand-touch learning task across breed clades of domestic dogs (Canis familiaris).Animal cognition · 2026Article
- Deference or sociability? Insights from dogs' and wolves' human-directed behavior in a food-conflict task.Frontiers in psychology · 2026Article
- Modifying the Attention Bias Test to Assess the Emotional State of Dogs.Animals : an open access journal from MDPI · 2025Article
- Affective bodily responses in monkeys predict subsequent pessimism, but not vice versa.Proceedings. Biological sciences · 2025Article
- Successive negative contrast: An appropriate approach to measure affective state in dogs?Animal welfare (South Mimms, England) · 2025Article
- Effect of pre-session discrimination training on performance in a judgement bias test in dogs.Animal cognition · 2024Article
- The odour of an unfamiliar stressed or relaxed person affects dogs' responses to a cognitive bias test.Scientific reports · 2024Article
- Fearful snake pictures make monkeys pessimistic.iScience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Judgement bias paradigms are increasingly being used as a measure of affective state in dogs. Approach to an ambiguous stimulus is commonly used as a measure of affect, however, this may also be influenced by learning. This study directly measured the impact of learning on a commonly used judgement bias paradigm in the absence of an affective state manipulation. Dogs (N = 15) were tested on a judgement bias task across five sessions. The dogs' latency to approach a bowl placed in one of three ambiguous locations between non-baited (negative) and baited (positive) locations was measured. Results show that session number had a significant effect on the dogs' latencies to reach the ambiguous bowl locations, with post-hoc tests revealing that dogs were significantly slower to approach the locations as the number of sessions increased. Session number also had a significant effect on the number of times the dogs did not approach the bowl within 30 s of being released, with the number of no approaches generally increasing across sessions. When dog identity was included as a fixed effect, a significant effect on latency to approach was found, suggesting that some dogs were consistently faster than others across sessions. To assess whether the paradigm produced repeatable results, Intraclass Correlation Coefficients were used. A low degree of reliability was found between latencies to approach each bowl position across sessions. This study demonstrates that dogs learned that the ambiguous locations were not rewarded with repeated exposures, and that this impacted their responses. We conclude that this judgement bias paradigm may require further consideration if applied across multiple exposures and that repeated results should be interpreted with caution as they are likely impacted by learning.
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Registered trials
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.