Literature DB >> 26440495

A "How-To" Guide for Designing Judgment Bias Studies to Assess Captive Animal Welfare.

Emily J Bethell1.   

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.

Entities:  

Keywords:  amphibians; animal welfare; cognitive bias; emotion; fish; reptiles

Mesh:

Year:  2015        PMID: 26440495     DOI: 10.1080/10888705.2015.1075833

Source DB:  PubMed          Journal:  J Appl Anim Welf Sci        ISSN: 1088-8705            Impact factor:   1.440


  36 in total

1.  Negative emotional contagion and cognitive bias in common ravens (Corvus corax).

Authors:  Jessie E C Adriaense; Jordan S Martin; Martina Schiestl; Claus Lamm; Thomas Bugnyar
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-20       Impact factor: 11.205

Review 2.  Use of cognitive bias as a welfare tool in poultry.

Authors:  Ľubor Košťál; Zuzana Skalná; Katarína Pichová
Journal:  J Anim Sci       Date:  2020-08-18       Impact factor: 3.159

3.  Pair-bonding influences affective state in a monogamous fish species.

Authors:  Chloé Laubu; Philippe Louâpre; François-Xavier Dechaume-Moncharmont
Journal:  Proc Biol Sci       Date:  2019-06-12       Impact factor: 5.349

4.  Structural environmental enrichment and the way it is offered influence cognitive judgement bias and anxiety-like behaviours in zebrafish.

Authors:  Jhon Buenhombre; Erika Alexandra Daza-Cardona; Pêssi Sousa; Amauri Gouveia; María Nelly Cajiao-Pachón
Journal:  Anim Cogn       Date:  2022-10-09       Impact factor: 2.899

5.  Once an optimist, always an optimist? Studying cognitive judgment bias in mice.

Authors:  Marko Bračić; Lena Bohn; Viktoria Siewert; Vanessa T von Kortzfleisch; Holger Schielzeth; Sylvia Kaiser; Norbert Sachser; S Helene Richter
Journal:  Behav Ecol       Date:  2022-06-03       Impact factor: 3.087

6.  Judgment Bias During Gestation in Domestic Pigs.

Authors:  Emily V Bushby; Sheena C Cotter; Anna Wilkinson; Mary Friel; Lisa M Collins
Journal:  Front Vet Sci       Date:  2022-05-12

7.  Emotion in animal contests.

Authors:  Andrew Crump; Emily J Bethell; Ryan Earley; Victoria E Lee; Michael Mendl; Lucy Oldham; Simon P Turner; Gareth Arnott
Journal:  Proc Biol Sci       Date:  2020-11-18       Impact factor: 5.349

8.  Role of the medial prefrontal cortex in the effects of rapid acting antidepressants on decision-making biases in rodents.

Authors:  C A Hales; J M Bartlett; R Arban; B Hengerer; E S J Robinson
Journal:  Neuropsychopharmacology       Date:  2020-08-25       Impact factor: 7.853

9.  Emotion Evaluation and Response Slowing in a Non-Human Primate: New Directions for Cognitive Bias Measures of Animal Emotion?

Authors:  Emily J Bethell; Amanda Holmes; Ann MacLarnon; Stuart Semple
Journal:  Behav Sci (Basel)       Date:  2016-01-11

Review 10.  Making Decisions under Ambiguity: Judgment Bias Tasks for Assessing Emotional State in Animals.

Authors:  Sanne Roelofs; Hetty Boleij; Rebecca E Nordquist; Franz Josef van der Staay
Journal:  Front Behav Neurosci       Date:  2016-06-09       Impact factor: 3.558

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