research-article

In Bed with Technology: Challenges and Opportunities for Sleep Tracking

Authors:

Bernd Ploderer,

Thuong HoangAuthors Info & Claims

OzCHI '15: Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

Pages 142 - 151

https://doi.org/10.1145/2838739.2838742

Published: 07 December 2015 Publication History

Abstract

In recent years a variety of mobile apps, wearable technologies and embedded systems have emerged that allow individuals to track the amount and the quality of their sleep in their own beds. Despite the widespread adoption of these technologies, little is known about the challenges that current users face in tracking and analysing their sleep. Hence we conducted a qualitative study to examine the practices of current users of sleep tracking technologies and to identify challenges in current practice. Based on data collected from 5 online forums for users of sleep-tracking technologies, we identified 22 different challenges under the following 4 themes: tracking continuity, trust, data manipulation, and data interpretation. Based on these results, we propose 6 design opportunities to assist researchers and practitioners in designing sleep-tracking technologies.

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Cited By

Salehzadeh Niksirat KVelykoivanenko LZufferey NCherubini MHuguenin KHumbert M(2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
https://dl.acm.org/doi/10.1145/3645091
Feng SMäntymäki M(2024)Stressors of Sleep Tracking: Instrument Development and ValidationDisruptive Innovation in a Digitally Connected Healthy World10.1007/978-3-031-72234-9_29(344-357)Online publication date: 10-Sep-2024
https://doi.org/10.1007/978-3-031-72234-9_29
Hoang NLiang Z(2023)Knowledge Discovery in Ubiquitous and Personal Sleep Tracking: Scoping ReviewJMIR mHealth and uHealth10.2196/4275011(e42750)Online publication date: 28-Jun-2023
https://doi.org/10.2196/42750
Show More Cited By

Index Terms

In Bed with Technology: Challenges and Opportunities for Sleep Tracking
1. Human-centered computing

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OzCHI '15: Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

December 2015

691 pages

ISBN:9781450336734

DOI:10.1145/2838739

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction
HFESA: Human Factors and Ergonomics Society of Australia Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2015

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OzCHI '15

OzCHI '15: The Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

December 7 - 10, 2015

VIC, Parkville, Australia

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OzCHI '15 Paper Acceptance Rate 47 of 97 submissions, 48%;

Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

Salehzadeh Niksirat KVelykoivanenko LZufferey NCherubini MHuguenin KHumbert M(2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
https://dl.acm.org/doi/10.1145/3645091
Feng SMäntymäki M(2024)Stressors of Sleep Tracking: Instrument Development and ValidationDisruptive Innovation in a Digitally Connected Healthy World10.1007/978-3-031-72234-9_29(344-357)Online publication date: 10-Sep-2024
https://doi.org/10.1007/978-3-031-72234-9_29
Hoang NLiang Z(2023)Knowledge Discovery in Ubiquitous and Personal Sleep Tracking: Scoping ReviewJMIR mHealth and uHealth10.2196/4275011(e42750)Online publication date: 28-Jun-2023
https://doi.org/10.2196/42750
Kabir KWiese J(2023)A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics SystemsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108937:3(1-35)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610893
Karlgren KMcmillan D(2023)Sleep Planning with Awari: Uncovering the Materiality of Body Rhythms using Research through DesignProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581502(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581502
Semertzidis NLi Pin Hiung AVranic-Peters MMueller F(2023)Dozer: Towards understanding the design of closed-loop wearables for sleepProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581044(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581044
Müller RPrimc NKuhn E(2023)'You have to put a lot of trust in me': autonomy, trust, and trustworthiness in the context of mobile apps for mental healthMedicine, Health Care and Philosophy10.1007/s11019-023-10146-y26:3(313-324)Online publication date: 30-Mar-2023
https://doi.org/10.1007/s11019-023-10146-y
Hsiou DGao CMatlock RScullin M(2022)Validation of a nonwearable device in healthy adults with normal and short sleep durationsJournal of Clinical Sleep Medicine10.5664/jcsm.970018:3(751-757)Online publication date: Mar-2022
https://doi.org/10.5664/jcsm.9700
Liang Z(2022)Context-Aware Sleep Health Recommender Systems (CASHRS): A Narrative ReviewElectronics10.3390/electronics1120338411:20(3384)Online publication date: 19-Oct-2022
https://doi.org/10.3390/electronics11203384
Kuosmanen EVisuri ARisto RHosio S(2022)Comparing consumer grade sleep trackers for research purposes: A field studyFrontiers in Computer Science10.3389/fcomp.2022.9717934Online publication date: 7-Sep-2022
https://doi.org/10.3389/fcomp.2022.971793
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