Reachable but not receptive: enhancing smartphone interruptibility prediction by modelling the extent of user engagement with notifications
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96704127
- Type
- D - Journal article
- DOI
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10.1016/j.pmcj.2017.01.011
- Title of journal
- Pervasive and Mobile Computing
- Article number
- -
- First page
- 480
- Volume
- 40
- Issue
- -
- ISSN
- 1574-1192
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2017
- URL
-
http://doi.org/10.1016/j.pmcj.2017.01.011
- 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
-
2
- Research group(s)
-
C - Cybersecurity, privacy and human centred computing
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work provides a modelling method for implicitly capturing indicators of "interruptibility", with the field previously dominated by the reliance on using in situ surveys, which can skew results as there are themselves an interruption. The model has been cited as a direct influence in the design of further research into smartphone notification behaviour (e.g., https://doi.org/10.1145/3229434.3229445) as well as in the basis for research in health-related domains (e.g. in delivering just in time health interventions: https://doi.org/10.1145/3328910).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
