Cavdar, SK;
Taskaya-Temizel, T;
Musolesi, M;
Tino, P;
(2020)
A multi-perspective analysis of social context and personal factors in office settings for the design of an effective mobile notification system.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
, 4
(1)
, Article 15. 10.1145/3381000.
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Abstract
In this study, we investigate the effects of social context, personal and mobile phone usage on the inference of work engagement/challenge levels of knowledge workers and their responsiveness to well-being related notifications. Our results show that mobile application usage is associated to the responsiveness and work engagement/challenge levels of knowledge workers. We also developed multi-level (within- and between-subjects) models for the inference of attentional states and engagement/challenge levels with mobile application usage indicators as inputs, such as the number of applications used prior to notifications, the number of switches between applications, and application category usage. The results of our analysis show that the following features are effective for the inference of attentional states and engagement/challenge levels: the number of switches between mobile applications in the last 45 minutes and the duration of application usage in the last 5 minutes before users' response to ESM messages.
Type: | Article |
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Title: | A multi-perspective analysis of social context and personal factors in office settings for the design of an effective mobile notification system |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3381000 |
Publisher version: | https://doi.org/10.1145/3381000 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10118308 |
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