Diffraction-in-action: Designerly Explorations of Agential Realism Through Lived Data
- Pedro Sanches,
- Noura Howell,
- ,
- ,
- Karey Helms
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
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.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 30/04/2022
Publication status
Published - 30/04/2022
Publisher
Association for Computing Machinery, United StatesISBN (Electronic)
978-1-4503-9157-3Publication IDs
- Scopus: 85129727336
Host publication title
Proceedings of the 2022 Conference on Human Factors in Computing Systems (CHI 2022)Publication metrics
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Citation count
84
Captures
47
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Related Event
Title
CHI Conference on Human Factors in Computing Systems
Event type
ConferenceDegree of recognition
International eventDate
30/04/2022 - 05/05/2022Location
New OrleansUnited States
