Krysztoforska, M., Docherty, N. orcid.org/0000-0001-5945-008X and Biega, A. (2023) Integrative objects in sociotechnical contexts: constructing digital well-being with generic epistemology. In: Schmidt, A. and Väänänen, K., (eds.) CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. CHI '23: CHI Conference on Human Factors in Computing Systems, 23-28 Apr 2023, Hamburg, Germany. Association for Computing Machinery (ACM) , p. 655. ISBN 9781450394215
Abstract
This paper presents a generative approach to interdisciplinary collaboration based on generic epistemology. Informed by the work of philosopher Anne-Françoise Schmid, we introduce the concept of the integrative object as a means to reorient interdisciplinary collaboration toward the requirements of the object of research itself, rather than via the requirements of particular disciplinary languages, methods, or operative logics. We show how such an approach is useful for research into sociotechnical phenomena that exceed the boundaries of discrete disciplines and their convergence. We introduce digital well-being as a case study, drawing on the authors’ own interdisciplinary collaborative experiences in this area as its empirical matter. From this, and in order to aid future research into similarly complex sociotechnical objects, we then provide practical tools to help those in the HCI community prepare and conduct interdisciplinary research in a similarly generative, non-dogmatic, and non-hierarchical manner.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2023 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License. (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | generic epistemology; interdisciplinarity; digital well-being; integrative objects; sociotechnical objects; critical theory; collaborative practice |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Apr 2023 11:07 |
Last Modified: | 26 Apr 2023 11:07 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Identification Number: | 10.1145/3544548.3580717 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198455 |