Identifying indicators of smartphone addiction through user-app interaction
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96704656
- Type
- D - Journal article
- DOI
-
10.1016/j.chb.2019.04.023
- Title of journal
- Computers in Human Behavior
- Article number
- -
- First page
- 56
- Volume
- 99
- Issue
- -
- ISSN
- 0747-5632
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2019
- URL
-
https://doi.org/10.1016/j.chb.2019.04.023
- 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
- Yes
- Number of additional authors
-
5
- Research group(s)
-
C - Cybersecurity, privacy and human centred computing
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- By capturing and modelling user-app interaction events (e.g., screen touches), this paper examines links between smartphone usage and smartphone addiction at a much finer granularity than in previous literature. This is acknowledged as a new approach to the field (e.g. https://doi.org/10.1177/2050157920942276). The work is the result of in-depth multi-disciplinary collaboration with researchers from the fields of mental health, neuroscience, and statistics.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -