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Bethell, EJ (2015) A “How-To” Guide for Designing Judgment Bias Studies to Assess Captive Animal Welfare. Journal of Applied Animal Welfare Science, 18 (Sup. 1). S18-S42. ISSN 1532-7604
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Bethel How to guide Publisher pre-print version.pdf - Accepted Version Download (795kB) | Preview |
Abstract
Robust methods to assess nonhuman animal emotion are essential for ensuring good welfare in captivity. Cognitive bias measures such as the judgment bias task have recently emerged as promising tools to assess animal emotion. The simple design and objective response measures make judgment bias tasks suitable for use across species and contexts. In reviewing 64 studies published to date, it emerged that (a) judgment biases have been measured in a number of mammals and birds and an invertebrate; (b) no study has tested judgment bias in any species of fish, amphibian, or reptile; and (c) no study has yet investigated judgment bias in a zoo or aquarium. This article proposes that judgment bias measures are highly suitable for use with these understudied taxa and can provide new insight into welfare in endangered species housed in zoos and aquariums, where poor welfare impacts breeding success and, ultimately, species survival. The article includes a “how-to” guide to designing judgment bias tests with recommendations for working with currently neglected “exotics” including fishes, amphibians, and reptiles.
| Item Type: | Article |
|---|---|
| Additional Information: | This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Applied Animal Welfare Science on 06/10/2015, available online: http://dx.doi.org/10.1080/10888705.2015.1075833 |
| Uncontrolled Keywords: | 0608 Zoology, 0702 Animal Production, 0707 Veterinary Sciences |
| Subjects: | Q Science > QL Zoology |
| Divisions: | Natural Sciences & Psychology (closed 31 Aug 19) |
| Publisher: | Taylor & Francis |
| Date Deposited: | 23 Oct 2015 11:10 |
| Last Modified: | 02 Mar 2022 12:09 |
| DOI or ID number: | 10.1080/10888705.2015.1075833 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/2168 |
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