Personal tracking as lived informatics
- Submitting institution
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University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-02324
- Type
- E - Conference contribution
- DOI
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10.1145/2556288.2557039
- Title of conference / published proceedings
- 32nd Annual ACM Conference on Human Factors in Computing Systems
- First page
- 1163
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2014
- URL
-
http://eprints.gla.ac.uk/94944/
- 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
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3
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: major advance upon prior studies of app usage and digital healthcare focusing on the individual app/device, providing empirical detail of the ways in which people move between, combine, abandon and share tracking systems. RIGOUR: used a month-long qualitative study of 22 people, creating a rich data set for inductive analysis. SIGNIFICANCE: a key citation in studies of app usage and digital health; inspired international workshops including Beyond Personal Informatics and Quantified Data & Social Relationships (CHI 2015, 2017); foundation for Chalmers’ £1M EPSRC Human Data Interaction (EP/R045178/1) Network+ grant. Published at ACM CHI, top publication venue in HCI.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -