ArticleScientific reports2016
A history-based method to estimate animal preference.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A functional framework for a comprehensive study of welfare in fishes.Proceedings. Biological sciences · 2025Review
- Effects of shady environments on fish collective behavior.Scientific reports · 2022Article
- Improving zebrafish laboratory welfare and scientific research through understanding their natural history.Biological reviews of the Cambridge Philosophical Society · 2022Review
- Dairy Heifer Motivation for Access to a Shaded Area.Animals : an open access journal from MDPI · 2021Article
- Preference and Motivation Tests for Body Tactile Stimulation in Fish.Animals : an open access journal from MDPI · 2021Article
- Article
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Authors and funding
2 authors.
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Abstract
Giving animals their preferred items (e.g., environmental enrichment) has been suggested as a method to improve animal welfare, thus raising the question of how to determine what animals want. Most studies have employed choice tests for detecting animal preferences. However, whether choice tests represent animal preferences remains a matter of controversy. Here, we present a history-based method to analyse data from individual choice tests to discriminate between preferred and non-preferred items. This method differentially weighs choices from older and recent tests performed over time. Accordingly, we provide both a preference index that identifies preferred items contrasted with non-preferred items in successive multiple-choice tests and methods to detect the strength of animal preferences for each item. We achieved this goal by investigating colour choices in the Nile tilapia fish species.
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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.