research-article

Personal Tracking of Screen Time on Digital Devices

Authors:

Parvin Asadzadeh,

Alistair Morrison,

Matthew ChalmersAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 284 - 296

https://doi.org/10.1145/2858036.2858055

Published: 07 May 2016 Publication History

Abstract

Numerous studies have tracked people's everyday use of digital devices, but without consideration of how such data might be of personal interest to the user. We have developed a personal tracking application that enables users to automatically monitor their 'screen time' on mobile devices (iOS and Android) and computers (Mac and Windows). The application interface enables users to combine screen time data from multiple devices. We trialled the application for 28+ days with 21 users, collecting log data and interviewing each user. We found that there is interest in personal tracking in this area, but that the study participants were less interested in quantifying their overall screen time than in gaining data about their use of specific devices and applications. We found that personal tracking of device use is desirable for goals including: increasing productivity, disciplining device use, and cutting down on use.

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Cited By

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Index Terms

Personal Tracking of Screen Time on Digital Devices
1. Human-centered computing

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
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Program Chairs:
Cliff Lampe
University of Michigan
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Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

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Published: 07 May 2016

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CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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https://doi.org/10.15187/adr.2024.08.37.4.43
Li ZLiang MLc RLuo Y(2024)StayFocused: Examining the Effects of Reflective Prompts and Chatbot Support on Compulsive Smartphone UseProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642479(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642479
Alghamdi SBull CKharrufa A(2024)Thematic Analysis of Self-Regulation Narratives in Textual Posts by Informal Programming Learners on Social Media2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL/HCC60511.2024.00033(223-235)Online publication date: 2-Sep-2024
https://doi.org/10.1109/VL/HCC60511.2024.00033
Hasan MAlghamdi HTaamneh SManser MWunderlich RTsiamyrtzis PPavlidis I(2024)Investigating Cardiovascular Activation of Young Adults in Routine DrivingIEEE Transactions on Affective Computing10.1109/TAFFC.2023.329133015:3(769-786)Online publication date: Jul-2024
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Su NZhang ZChen JLi WLong Y(2024)Assessing Personal Screen Exposure with Ever-Changing Contexts Using Wearable Cameras and Computer VisionBuilding and Environment10.1016/j.buildenv.2024.111720(111720)Online publication date: Jun-2024
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Singh PBhardwaj PSharma SAgrawal A(2023)Effect of Screen Media Technologies on Physical and Psychological Well Being in Middle Aged AdultsInternational Journal of Cyber Behavior, Psychology and Learning10.4018/IJCBPL.33013213:1(1-17)Online publication date: 11-Sep-2023
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Fritz TLill AMeyer AMurphy GHowe L(2023)Cultivating a Team Mindset about Productivity with a Nudge: A Field Study in Hybrid Development TeamsProceedings of the ACM on Human-Computer Interaction10.1145/36101847:CSCW2(1-21)Online publication date: 4-Oct-2023
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