Examining Choice Overload across Single-list and Multi-list User Interfaces

Alain D. Starke*, Justyna Sedkowska, Mihir Chouhan, Bruce Ferwerda

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Recommender systems are prone to triggering choice overload among users due to the typically large set sizes. Various applications have been developed that aim to overcome this through interface design, notably by so-called multi-list recommender systems. However, to what extent such user interface design actually reduces choice overload compared to single-list interfaces has yet to be examined. In a user study (N = 150), we compared three common user interfaces (UIs) in the context of recipe recommendation: a single-list UI, a grid UI and a multi-list UI. Whereas earlier studies found differences in choice difficulty and choice satisfaction across grid-based and multi-list recommender interfaces, we observed no such differences, as the explanations were possibly not sufficiently helpful. Instead, we found that grid-based UIs and multi-list UIs had a higher perceived ease of use than a single-list UI, which in turn reduced choice difficulty. The benefits of such interfaces, thus, may lie in the organization of the UI, at least in the recipe domain.

Original languageEnglish
Title of host publicationInterfaces and Human Decision Making for Recommender Systems 2022
Pages3-17
Number of pages15
Volume3222
Publication statusPublished - 2022
Event9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2022 - Seattle, United States
Duration: 22 Sept 2022 → …

Publication series

NameCEUR Workshop Proceedings
PublisherRheinisch-Westfaelische Technische Hochschule Aachen
ISSN (Print)1613-0073

Conference/symposium

Conference/symposium9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2022
Country/TerritoryUnited States
CitySeattle
Period22/09/22 → …

Keywords

  • Choice Overload
  • Food
  • Recommender Systems
  • User Experience
  • User Interface

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