End-User Development of Experience Sampling Smartphone Apps -Recommendations and Requirements
- Submitting institution
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University of Dundee
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 52710012
- Type
- D - Journal article
- DOI
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10.1145/3397307
- Title of journal
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Article number
- 56
- First page
- -
- Volume
- 4
- Issue
- 2
- ISSN
- 2474-9567
- Open access status
- Exception within 3 months of publication
- Month of publication
- June
- Year of publication
- 2020
- 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
-
1
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is significant because, in addition to the contributions outlined in the text, it demonstrates that the tool ‘Jeeves’, developed in previous work, can be successfully applied by researchers to conduct experience sampling studies without programming. The third described case study has begun a collaboration with Dr Daniel Powell at the University of Aberdeen in the Health Psychology group on an experience sampling study (currently suspended due to COVID). It will investigate the dietary habits of NHS nurses who work long shifts on unpredictable schedules, to understand the impact this has on their physical health.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -