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

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Design for Equality and Justice (INTERACT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14536))

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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 into design patterns of algorithmic affordances, particularly in terms of labelling and description, is required in order to establish categories that resonate with all relevant parties.

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Author information

Authors and Affiliations

  1. HU University of Applied Sciences Utrecht, Utrecht, The Netherlands

    Ester Bartels, Aletta Smits, Shakila Shayan & Koen van Turnhout

  2. The Hague University of Applied Sciences, The Hague, The Netherlands

    Chris Detweiler

  3. Avans University of Applied Sciences, Breda, The Netherlands

    Esther van der Stappen & Suzanne van Rossen

  4. University of Applied Sciences and Arts Northwestern Switzerland FHNW, Windisch, Switzerland

    Katja Pott

  5. Appealy Design, Amsterdam, The Netherlands

    Karine Cardona

  6. University of Duisburg-Essen, Duisburg, Germany

    Jürgen Ziegler

Authors
  1. Ester Bartels
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  2. Aletta Smits
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  3. Chris Detweiler
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  4. Esther van der Stappen
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  5. Suzanne van Rossen
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  6. Shakila Shayan
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  7. Katja Pott
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  8. Karine Cardona
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  9. Jürgen Ziegler
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  10. Koen van Turnhout
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Corresponding author

Correspondence to Ester Bartels .

Editor information

Editors and Affiliations

  1. University of York, York, UK

    Anna Bramwell-Dicks

  2. University of York, York, UK

    Abigail Evans

  3. Université Côte d‘Azur, Sophia Antipolis, France

    Marco Winckler

  4. University of York, York, UK

    Helen Petrie

  5. University of West London, London, UK

    José Abdelnour-Nocera

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Bartels, E. et al. (2024). Exploring Categorizations of Algorithmic Affordances in Graphical User Interfaces of Recommender Systems. In: Bramwell-Dicks, A., Evans, A., Winckler, M., Petrie, H., Abdelnour-Nocera, J. (eds) Design for Equality and Justice. INTERACT 2023. Lecture Notes in Computer Science, vol 14536. Springer, Cham. https://doi.org/10.1007/978-3-031-61698-3_16

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  • DOI: https://doi.org/10.1007/978-3-031-61698-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61697-6

  • Online ISBN: 978-3-031-61698-3

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