Patient Perspectives on Self-Management Technologies for Chronic Fatigue Syndrome
- Submitting institution
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The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 188557433
- Type
- E - Conference contribution
- DOI
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10.1145/3290605.3300452
- Title of conference / published proceedings
- CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- 1062-9432
- Open access status
- Exception within 3 months of publication
- Month of publication
- May
- Year of publication
- 2019
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Contributes an understanding of the needs of ME/CFS patients for self-management technologies. It provides insight into the ways in which patients currently engage with technology to manage their condition. Led to an invited talk (“ME/CFS Research in Human-Computer Interaction”) at the 2019 Emerge ME/CFS International Research Symposium and to collaboration funded by a Medical Research Future Fund looking at ME/CFS and its impacts in Australia. Cited by leading HCI/health tech research groups (e.g. Munson’s group, Uni. Washington) for revealing the potentially ‘shaming’ impacts of mainstream activity tracking tools in this population.
- Author contribution statement
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- Non-English
- No
- English abstract
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