The role of artificial photo backgrounds of shelter dogs on pet profile clicking and the perception of sociability

Author:

Lamb FionaORCID,Andrukonis Allison,Protopopova Alexandra

Abstract

With the increasing prevalence of technology, the internet is often the first step for potential pet owners searching for an adoptable dog. However, best practices for the online portrayal of shelter and foster dogs remain unclear. Different online photo backgrounds appearing on adoption websites for shelter dogs may impact adoption speed by influencing viewer interest. Online clicking behaviour on pet profiles and human-directed sociability, broadly defined, has been previously linked to increased adoption likelihood. Therefore, the objective of this study was to determine the relationship between photo backgrounds of shelter dogs and online clicking as well as perceived human-directed sociability. In a virtual experiment, 680 participants were asked to rank the sociability and friendliness of four different adoptable dogs on a scale from 0–10. The photo background of each dog was digitally altered and randomly assigned to four experimental background conditions: 1) outdoor, 2) home indoor, 3) in-kennel, and 4) plain coloured. As a proxy for adoption interest, a link to the dog’s adoption profile was presented on each slide and the clicking behaviour of participants on this link was recorded. Mixed logistic regression and Poisson models revealed that background did not affect participants’ link-clicking behaviour (chisq = 3.55, df = 3, p = .314) nor perceptions of sociability (statistic = 6.19, df = 3, p = .103). Across all backgrounds, only 4.74% of presented slides culminated in participant link-clicking. Sociability scores also did not predict link clicking. Assessment of participant-related factors and dog ID revealed that link-clicking and sociability scores of photographs were influenced by differences between dogs themselves and unaffected by participants’ awareness of study hypotheses. We conclude that artificial background types did not affect participant responses. The results demonstrate the importance of empirical data in making marketing decisions in animal shelters. Understanding which aspects of online marketing materials impact viewer interest will provide guidance for both animal shelter personnel and foster families to improve the speed of adoption of the animals in their care.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

1. Pet statistics. ASPCA [Internet]. 2018 [cited 2021 Apr 2]. Available from: https://www.aspca.org/animal-homelessness/shelter-intake-and-surrender/pet-statistics

2. Animal shelter statistics. Humane Canada [Internet]. 2019 [cited 2021 Apr 25]. Available from: https://humanecanada.ca/wp-content/uploads/2020/11/Humane_Canada_Animal_shelter_statistics_2019.pdf

3. An estimate of the number of dogs in US shelters in 2015 and the factors affecting their fate;K Woodruff;J Appl Anim Welf Sci,2020

4. Human interaction and cortisol: Can human contact reduce stress for shelter dogs;CL Coppola;Physiol Behav,2006

5. Using hypothalamic–pituitary–adrenal measures for assessing and reducing the stress of dogs in shelters: A review.;MB Hennessy;Appl Anim Behav Sci,2013

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A mixed-method analysis of the consistency of intake information reported by shelter staff upon owner surrender of dogs;Journal of Applied Animal Welfare Science;2023-08-23

2. Quantified Canine: Inferring Dog Personality From Wearables;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

3. Predict Pawpularity Score of Pets Using State of Art Algorithms;Lecture Notes in Electrical Engineering;2023

4. Do AI Models “Like" Black Dogs? Towards Exploring Perceptions of Dogs with Vision-Language Models;Proceedings of the Ninth International Conference on Animal-Computer Interaction;2022-12-05

5. Pet analytics: Predicting adoption speed of pets from their online profiles;Expert Systems with Applications;2022-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3