The Influence of Cat Coat Colour, Eye Shape, and Pupil Size on Ratings of Adoptability Based on a Standardised Online Image, in an Australian Sample

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Authors: Sarah C. Whelan, Deanna L. Tepper, Jessica K. Dawson, Diana Rayment, Lily Chilcott, Pauleen C. Bennett, Tiffani J. Howell
Cited by: 1
References: 33

Abstract

Online pet adoption profiles, which present images of available pets, can create powerful first impressions. Research about factors influencing pet adoptability online is limited and has mainly focused on dogs, yet cats are also in need of homes. People may judge a cat’s behaviour based on physical factors, like coat colour, eye shape, and pupil size. This study aimed to determine whether those physical traits relate to cat adoptability and, if so, whether they might do this through influencing perceptions of cuteness and specific behaviours. Australian adults (N = 624) were surveyed online using a single cat image that was modified to have all possible combinations of four different coat colours, three eye shapes, and three pupil sizes. Adoptability scores varied significantly with the cat’s coat colour and eye shape, but not pupil size. Black cats with walnut-shaped eyes had the highest adoptability ratings. A stepwise multiple regression determined seven variables influencing adoptability scores, including the degree to which the image was rated as cute, friendly, shy, active, difficult, playful, and devoted. Cuteness had the strongest influence, explaining 34% of the model variance. Multiple two-way ANOVAs compared these seven variables across combinations of coat colour and eye shape, with black cats being perceived as significantly more friendly and playful. This information may help animal adoption agencies understand how cats’ physical features can be utilised in online profiles to enhance adoption outcomes.

Fields of Study & Subjects

Human-Animal Interaction Studies Veterinary Practice and Education Studies Animal Behavior and Welfare Studies

Publication details

Journal / source
Animals
Publisher
MDPI AG
Volume
16
Issue
2
Pages
339–339
Publication date
22 January 2026
Language
EN