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My Phone and Me: Understanding People's Receptivity to Mobile Notifications

Mehrotra, A; Pejovic, V; Vermeulen, J; Hendley, RJ; Musolesi, M; (2016) My Phone and Me: Understanding People's Receptivity to Mobile Notifications. In: Kaye, J and Druin, A and Lampe, C and Morris, D and Hourcade, JP, (eds.) CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. (pp. pp. 1021-1032). Association for Computing Machinery (ACM): New York. Green open access

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Abstract

Notifications are extremely beneficial to users, but they often demand their attention at inappropriate moments. In this paper we present an in-situ study of mobile interruptibility focusing on the effect of cognitive and physical factors on the response time and the disruption perceived from a notification. Through a mixed method of automated smartphone logging and experience sampling we collected 10372 in-the-wild notifications and 474 questionnaire responses on notification perception from 20 users. We found that the response time and the perceived disruption from a notification can be influenced by its presentation, alert type, sender-recipient relationship as well as the type, completion level and complexity of the task in which the user is engaged. We found that even a notification that contains important or useful content can cause disruption. Finally, we observe the substantial role of the psychological traits of the individuals on the response time and the disruption perceived from a notification.

Type: Proceedings paper
Title: My Phone and Me: Understanding People's Receptivity to Mobile Notifications
Event: CHI Conference on Human Factors in Computing Systems, 7-12 May 2016, San Jose, California, USA
ISBN-13: 9781450333627
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2858036.2858566
Publisher version: http://dx.doi.org/10.1145/2858036.2858566
Language: English
Additional information: Copyright © 2016 Association for Computing Machinery, Inc. (ACM).
Keywords: Mobile Sensing, Notifications, Interruptibility, Context-aware Computing
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
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
URI: https://discovery.ucl.ac.uk/id/eprint/1502364
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