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Deliberating Data-Driven Societies Through Live Action Role Play

Published: 28 June 2021 Publication History

Abstract

People’s data practices and their supporting personal informatics are imbued with a wide range of concepts of value that are central to their data imaginaries. They inform how individuals adopt particular products and services. This elusiveness of value creates a challenge for designers to gauge users’ value preferences, which are personal, contextual and abstract. We propose deliberation as a process to operationalise design for elicitation, reflection and value formation, using Live Action Role Play (LARP). The paper demonstrates how our deliberative LARP precipitates the otherwise ethereal data values to unfold in a social setting. We argue that engaging people in reflecting on and playing out their own value formation offers designers more powerful insights to address complex challenges of data-driven societies. We report on our findings that agency and negotiability are key to transcend the politics of preferences in data practices and thus enhance acceptability.

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Cited By

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  • (2024)Why Larp? A Synthesis Article on Live Action Roleplay in Relation to HCI Research and PracticeACM Transactions on Computer-Human Interaction10.1145/368904531:5(1-35)Online publication date: 2-Sep-2024
  • (2024)Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry TeamsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642402(1-17)Online publication date: 11-May-2024

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cover image ACM Conferences
DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference
June 2021
2082 pages
ISBN:9781450384766
DOI:10.1145/3461778
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Published: 28 June 2021

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  1. Data imaginaries
  2. Data value
  3. Deliberation
  4. Design
  5. LARP

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  • (2024)Why Larp? A Synthesis Article on Live Action Roleplay in Relation to HCI Research and PracticeACM Transactions on Computer-Human Interaction10.1145/368904531:5(1-35)Online publication date: 2-Sep-2024
  • (2024)Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry TeamsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642402(1-17)Online publication date: 11-May-2024

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