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Self-Care Technologies in HCI: Trends, Tensions, and Opportunities

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journal contribution
posted on 2017-03-27, 11:04 authored by Francisco Nunes, Nervo Verdezoto, Geraldine Fitzpatrick, Morten Kyng, Erik Grönvall, Cristiano Storni
Many studies show that self-care technologies can support patients with chronic conditions and their carers in understanding the ill body and increasing control of their condition. However, many of these studies have largely privileged a medical perspective and thus overlooked how patients and carers integrate self-care into their daily lives and mediate their conditions through technology. In this review, we focus on how patients and carers use and experience self-care technology through a Human-Computer Interaction (HCI) lens. We analyse studies of self-care published in key HCI journals and conferences using the Grounded Theory Literature Review (GTLR) method and identify research trends and design tensions. We then draw out opportunities for advancing HCI research in self-care, namely, focusing further on patients' everyday life experience, considering existing collaborations in self-care, and increasing the influence on medical research and practice around self-care technology.

Funding

The first author was supported by the Vienna PhD School of Informatics (www.informatik.tuwien.ac.at/ teaching/phdschool). The second author was partly supported by the Lev Vel Consortium. Lev Vel is funded by the Danish Council for Technology and Innovation and The Capital Region of Denmark.

History

Citation

ACM Transactions on Computer-Human Interaction (TOCHI), 2015, 22 (6), pp. 1-45 (45)

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science

Version

  • AM (Accepted Manuscript)

Published in

ACM Transactions on Computer-Human Interaction (TOCHI)

Publisher

Association for Computing Machinery (ACM)

issn

1073-0516

eissn

1557-7325

Copyright date

2015

Available date

2017-03-27

Publisher version

http://dl.acm.org/citation.cfm?doid=2830543.2803173

Language

en

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