Towards a Practice-Led Research Agenda for User Interface Design of Recommender Systems

Aletta Smits, Koen van Turnhout

Research output: Chapter in Book/Report/Conference proceedingContribution to conference proceedingAcademicpeer-review

Abstract

The design of recommender systems’ graphical user interfaces (GUIs) is critical for a user's experience with these systems. However, most research into recommenders focuses on algorithms, overlooking the design of their interfaces. Additionally, the studies on the design of recommender interfaces that do exist do not always manage to cross the research-practice gap. This disconnect may be due to a lack of alignment between academic focus and the most pressing needs of practitioners, as well as the way research findings are communicated. To address these issues, this paper presents the results of a comprehensive study involving 215 designers worldwide, aiming to identify the primary challenges in designing recommender GUIs and the resources practitioners need to tackle those challenges. Building on these findings, this paper proposes a practice-led research agenda for the human-computer interaction community on designing recommender interfaces and suggestions for more accessible and actionable ways of disseminating research results in this domain.
Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2023
Subtitle of host publication19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III
EditorsJosé Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno, Marco Winckler
PublisherSpringer Nature
Pages170-190
Number of pages21
Edition1
ISBN (Print)9783031422850
DOIs
Publication statusPublished - 25 Aug 2023
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14144 LNCS

Keywords

  • algorithmic affordances
  • interface design
  • recommender systems
  • research-practice gap

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