Exploring Categorizations of Algorithmic Affordances in Graphical User Interfaces of Recommender Systems

Ester Bartels, Aletta Smits, Chris Detweiler, Esther van der Stappen, Suzanne van Rossen, Shakila Shayan, Katja Pott, Karine Cardona, Jürgen Ziegler, Koen van Turnhout

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

Abstract

This exploratory study investigates the rationale behind categorizing algorithmic controls, or algorithmic affordances, in the graphical user interfaces (GUIs) of recommender systems. Seven professionals from industry and academia took part in an open card sorting activity to analyze 45 cards with examples of algorithmic affordances in recommender systems’ GUIs. Their objective was to identify potential design patterns including features on which to base these patterns. Analyzing the group discussions revealed distinct thought processes and defining factors for design patterns that were shared by academic and industry partners. While the discussions were promising, they also demonstrated a varying degree of alignment between industry and academia when it came to labelling the identified categories. Since this workshop is part of the preparation for creating a design pattern library of algorithmic affordances, and since the library aims to be useful for both industry and research partners, further research int
Original languageEnglish
Title of host publicationDesign for Equality and Justice
Subtitle of host publicationINTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II
EditorsAnna Bramwell-Dicks, Abigail Evans, Marco Winckler, Helen Petrie, José Abdelnour-Nocera
Place of PublicationBerlin, Heidelberg
PublisherSpringer Verlag
Pages173–184
Number of pages12
Edition1
ISBN (Print)978-3-031-61697-6
DOIs
Publication statusPublished - 9 Jul 2024
Externally publishedYes

Keywords

  • recommender systems
  • graphical user interfaces
  • design patterns
  • user control
  • algorithmic affordances
  • research-practice gap

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