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Diffraction-in-action: Designerly Explorations of Agential Realism Through Lived Data

Authors:

Vasiliki Tsaknaki,

Karey HelmsAuthors Info & Claims

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Article No.: 540, Pages 1 - 18

https://doi.org/10.1145/3491102.3502029

Published: 29 April 2022 Publication History

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Abstract

Recent design research has shown an interest in diffraction and agential realism, which promise to offer generative alternatives when designing with data that resist treating data as objective or neutral. We explore engaging diffractively with ‘lived data’ to surface felt and prospective aspects of data as it is entangled in everyday lives of designers. This paper presents five biodata-based case studies demonstrating how design researchers can create knowledge about human bodies and behaviors via strategies that allow them to engage data diffractively. These studies suggest that designers can find insights for designing with data as it is lived by working with it in a slow, open-ended fashion that leaves room for messiness and time for discovering difference. Finally, we discuss the role of ambiguous, open-ended data interpretations to help surface different meanings and entanglements of data in everyday lives.

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Giaccardi EMurray-Rust DRedström JCaramiaux B(2024)Prototyping with Uncertainties: Data, Algorithms, and Research through DesignACM Transactions on Computer-Human Interaction10.1145/370232231:6(1-21)Online publication date: 6-Nov-2024
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Reed CBenito ACaspe FMcPherson A(2024)Shifting Ambiguity, Collapsing Indeterminacy: Designing with Data as Baradian ApparatusACM Transactions on Computer-Human Interaction10.1145/368904331:6(1-41)Online publication date: 6-Dec-2024
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Index Terms

Diffraction-in-action: Designerly Explorations of Agential Realism Through Lived Data
1. Human-centered computing
  1. Interaction design
    1. Interaction design theory, concepts and paradigms

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cover image ACM Conferences

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

10459 pages

ISBN:9781450391573

DOI:10.1145/3491102

Editors:
Simone Barbosa
PUC-Rio, Brazil
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University of Michigan, USA
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Caroline Appert
Université Paris-Saclay, France
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David A. Shamma
Toyota Research Institute, USA
,
Steven Drucker
Microsoft Research, USA
,
Julie Williamson
University of Glasgow, UK
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Koji Yatani
University of Tokyo, Japan

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https://doi.org/10.3389/fcomp.2024.1258289
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https://dl.acm.org/doi/10.1145/3702322
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https://dl.acm.org/doi/10.1145/3689043
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