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

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Titel: Exploring Categorizations of Algorithmic Affordances in Graphical User Interfaces of Recommender Systems
Autoren: Bartels, Ester, Onderzoeker, Smits, Aletta, Onderzoeker, Detweiler, C. A. (Chris), Onderzoeker, Stappen,van der, Esther, Onderzoeker, Rossen,van, Suzanne, Onderzoeker, Shayan, Shakila, Onderzoeker, Pott, Katja, Onderzoeker, Cardona, Karine, Onderzoeker, Ziegler, Jürgen, Onderzoeker, Turnhout,van, Koen, Onderzoeker
Weitere Verfasser: Human Experience and Media Design, Hogeschool Utrecht@@@Kenniscentrum Digital Business & Media
Quelle: Design for Equality and Justice: INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II. (14536):173-184
Verlagsinformationen: Hogeschool Utrecht, 2024.
Publikationsjahr: 2024
Schlagwörter: Recommender Systems, Graphical User Interfaces, Design Patterns, User Control, Algorithmic Affordances, Research-Practice Gap
Beschreibung: 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
Publikationsart: conference Object
Sprache: English
DOI: 10.1007/978-3-031-61698-3_16
Zugangs-URL: https://surfsharekit.nl/public/78f84416-b397-4920-baab-8a68117df2e5
Verfügbarkeit: http://www.hbo-kennisbank.nl/en/page/hborecord.view/?uploadId=sharekit_hu:oai:surfsharekit.nl:78f84416-b397-4920-baab-8a68117df2e5
Dokumentencode: edshbo.sharekit.hu.oai.surfsharekit.nl.78f84416.b397.4920.baab.8a68117df2e5
Datenbank: HBO Kennisbank
Beschreibung
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
DOI:10.1007/978-3-031-61698-3_16