Turner, Liam D.  ORCID: https://orcid.org/0000-0003-4877-5289, Allen, Stuart M. ORCID: https://orcid.org/0000-0003-1776-7489 and Whitaker, Roger M. ORCID: https://orcid.org/0000-0002-8473-1913
2017.
Reachable but not receptive: enhancing smartphone interruptibility prediction by modelling the extent of user engagement with notifications.
Pervasive and Mobile Computing
40
, pp. 480-494.
10.1016/j.pmcj.2017.01.011
|
Preview |
PDF
- Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (303kB) | Preview |
Abstract
Smartphone notifications frequently interrupt our daily lives, often at inopportune moments. We propose the decision-on-information-gain model, which extends the existing data collection convention to capture a range of interruptibility behaviour implicitly. Through a six-month in-the-wild study of 11,346 notifications, we find that this approach captures up to 125% more interruptibility cases. Secondly, we find different correlating contextual features for different behaviour using the approach and find that predictive models can be built with >80% precision for most users. However we note discrepancies in performance across labelling, training, and evaluation methods, creating design considerations for future systems.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Uncontrolled Keywords: | Interruptibility, notifications, human behaviour, smartphone, mobile |
| Publisher: | Elsevier |
| ISSN: | 1574-1192 |
| Date of First Compliant Deposit: | 31 January 2017 |
| Date of Acceptance: | 31 January 2017 |
| Last Modified: | 09 Nov 2024 18:15 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/97910 |
Citation Data
Cited 33 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
 |
Edit Item |
Dimensions
Dimensions