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research-article

Reachable but not receptive

Authors:

Liam D. Turner,

Stuart M. Allen,

Roger M. WhitakerAuthors Info & Claims

Pervasive and Mobile Computing, Volume 40, Issue C

Pages 480 - 494

https://doi.org/10.1016/j.pmcj.2017.01.011

Published: 01 September 2017 Publication History

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.

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Cited By

Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676514
Chen YWoodward JBista DZhang XSingh IObajemu OShankar MRoss KRuiz JAnthony L(2024)Investigating Contextual Notifications to Drive Self-Monitoring in mHealth Apps for Weight MaintenanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641993(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641993
Lin CWu CHuang PLai YHo YChung CChang Y(2023)Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading ModesProceedings of the ACM on Human-Computer Interaction10.1145/36042687:MHCI(1-26)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604268
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Reachable but not receptive
1. Human-centered computing

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cover image Pervasive and Mobile Computing

Pervasive and Mobile Computing Volume 40, Issue C

September 2017

723 pages

ISSN:1574-1192

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Copyright © Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 September 2017

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Cited By

Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676514
Chen YWoodward JBista DZhang XSingh IObajemu OShankar MRoss KRuiz JAnthony L(2024)Investigating Contextual Notifications to Drive Self-Monitoring in mHealth Apps for Weight MaintenanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641993(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641993
Lin CWu CHuang PLai YHo YChung CChang Y(2023)Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading ModesProceedings of the ACM on Human-Computer Interaction10.1145/36042687:MHCI(1-26)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604268
Chang XHsu FLiang EChiou ZChuang HTseng FLin YChang Y(2023)Not Merely Deemed as Distraction: Investigating Smartphone Users’ Motivations for Notification-InteractionProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581146(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581146
Tseng FChiou ZChuang HSu LLin YLin YLee YWang PChen UChang Y(2023)Multiple Device Users’ Actual and Ideal Cross-Device Usage for Multi-Stage Notification-Interactions: An ESM Study Addressing the Usage Gap and Impacts of Device ContextProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580731(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580731
Chen YLee YKao KTsai JLiang EChiu WShih FChang Y(2023)Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and ScreenshotsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580689(1-19)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580689
Li THaines JDe Eguino MHong JNichols J(2023)Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone UsersACM Transactions on Computer-Human Interaction10.1145/347886829:5(1-33)Online publication date: 6-Jan-2023
https://dl.acm.org/doi/10.1145/3478868
Lee HChiang YChou YLin KChang Y(2023)What makes IM users (un)responsiveInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102983172:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102983
Chou YChien YLin YLin KShih FChang Y(2022)Because I’m Restricted, 2 – 4 PM Unable to See Messages: Exploring Users’ Perceptions and Likely Practices around Exposing Attention Management Use on IM Online StatusProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517616(1-18)Online publication date: 29-Apr-2022
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Friedrichs BTurner LAllen S(2022)Utilising the co-occurrence of user interface interactions as a risk indicator for smartphone addictionPervasive and Mobile Computing10.1016/j.pmcj.2022.10167786:COnline publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.pmcj.2022.101677
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