Abstract
Sensor networks are increasingly commonplace in visions of smart cities and future healthcare systems, promising greater efficiency and increased wellbeing. However, the design of these technologies remains focused on specific users and fragmented by context, overlooking the diversity of needs, wants and values present when technologies, people, and lived realities interact within instrumented spaces. In this paper we present a workshop method – Sensing Care – that can help researchers, interdisciplinary design and development teams, and potentially affected users, to explore what it takes to design for living with sensor technologies that intersect and interact across private and public spaces, through speculative scenarios and role play. Drawing from three deployments of the workshop, we discuss how this approach supports the design of future care-oriented sensor networks, and helps designers understand what it means to live with complex technologies as people traverse diverse contexts.
Original language | English |
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Title of host publication | DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference |
Editors | D. Byrne, N. Martelaro |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 16 |
ISBN (Print) | 978-1-4503-9893-0 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 ACM Designing Interactive Systems Conference (DIS'23) - Pittsburgh, United States Duration: 10 Jul 2023 → 14 Jul 2023 |
Conference
Conference | 2023 ACM Designing Interactive Systems Conference (DIS'23) |
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Country/Territory | United States |
City | Pittsburgh |
Period | 10/07/23 → 14/07/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Design methods
- location-aware computing
- contextual computing