Nudging Healthy Choices in Food Search through List Re-Ranking

Alain D. Starke, Elias Kløverød Kløverød Brynestad, Sveinung Hauge, Louise Sandal Løkeland

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

2 Citations (Scopus)

Abstract

As the Internet is becoming a popular source of food recipes, studies show that they also contribute to health problems. A particular problem is that personalized food platforms promote recipes that contain large amounts of fat, sodium, and sugar. Filtering recipes on their health content would be possible, but this might lead to dissatisfaction among users, as unhealthy recipes tend to be popular. As a new contribution, we propose to not change the presented content but how it is presented: the decision context. We present a work-in-progress that aims to steer users of a recipe search portal towards healthier choices through the serial-position effect, which predicts that users are biased towards higher-ranked items. We report a 2x2-within-subjects experiment, in which 17 participants searched for four different recipes and were asked to choose one recipe they liked the most from each list. Search results were either presented from high (low) to low (sodium) content and were personalized or not. Our analysis suggested that matching the content towards the user's eating goals might overcome the effectiveness of serial-position nudges, while we found no average differences in user satisfaction levels across the two ranking scenarios.

Original languageEnglish
Title of host publicationUMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization
EditorsJudith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalcic
Place of PublicationUtrecht
Pages293-298
Number of pages6
ISBN (Electronic)9781450383677
DOIs
Publication statusPublished - 21 Jun 2021
Event29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 - Virtual, Online, Netherlands
Duration: 21 Jun 202025 Jun 2020

Publication series

NameUMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
CountryNetherlands
CityVirtual, Online
Period21/06/2025/06/20

Keywords

  • Food Search
  • Health
  • Nudging
  • Personalization
  • Recipes

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