Quantifying the body and caring for the mind : Self-tracking in multiple sclerosis
- Submitting institution
-
University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 199842012
- Type
- E - Conference contribution
- DOI
-
10.1145/3025453.3025869
- Title of conference / published proceedings
- CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems : Explore, Innovate, Inspire
- First page
- 6889
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
E - Bristol Interaction Group
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Based on an empirical study with people with Multiple Sclerosis, this agenda setting paper argues for the need for flexibility and personalisation in personal data technologies. It critiques the monolithic behaviour change theory underpinning previous work and highlights the psychological role of tracking in developing resilience in self-care. It has had a significant impact on the work of several leading research groups including Munson (U. Washington (e.g,. https://dl.acm.org/doi/abs/10.1145/3196709.3196738), Chen (U. Irvine, e.g., https://dl.acm.org/doi/abs/10.1145/3134671), and Fitzpatrick(TU Vienna, e.g,. https://dl.acm.org/doi/abs/10.1145/3173574.3173976). It formed part of the motivation for an Innovate UK grant on Type 1 diabetes management (https://gtr.ukri.org/projects?ref=104543)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -