Nudging Healthy Choices in Food Search Through Visual Attractiveness

Author:

Starke Alain D.,Willemsen Martijn C.,Trattner Christoph

Abstract

Recipe websites are becoming increasingly popular to support people in their home cooking. However, most of these websites prioritize popular recipes, which tend to be unhealthy. Drawing upon research on visual biases and nudges, this paper investigates whether healthy food choices can be supported in food search by depicting attractive images alongside recipes, as well as by re-ranking search results on health. After modelling the visual attractiveness of recipe images, we asked 239 users to search for specific online recipes and to select those they liked the most. Our analyses revealed that users tended to choose a healthier recipe if a visually attractive image was depicted alongside it, as well as if it was listed at the top of a list of search results. Even though less popular recipes were promoted this way, it did not come at the cost of a user’s level of satisfaction.

Publisher

Frontiers Media SA

Reference69 articles.

1. Rising adoption and retention of meat-free diets in online recipe data;Asano;Nat. Sustain.,2019

2. Position effects in choice from simultaneous displays: a conundrum solved;Bar-Hillel;Perspect. Psychol. Sci.,2015

3. Using insights from behavioral economics to nudge individuals towards healthier choices when eating out: a restaurant experiment;Bergeron;Food Qual. Prefer.,2019

4. Constructive consumer choice processes;Bettman;J. Consum. Res.,1998

5. Understanding choice overload in recommender systems;Bollen,2010

Cited by 25 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. ‘Let me recommend… ’: use of digital nudges or recommender systems for overweight and obesity prevention—a scoping review protocol;BMJ Open;2024-07

2. Balancing Act: Boosting Strategies for Informed Search on Controversial Topics;Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval;2024-03-10

3. The Effect of Simulated Contextual Factors on Recipe Rating and Nutritional Intake Behaviour;Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval;2024-03-10

4. NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems;Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval;2024-03-10

5. Emotional Insights for Food Recommendations;Lecture Notes in Computer Science;2024

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