research-article

Validating a mobile phone application for the everyday, unobtrusive, objective measurement of sleep

Authors:

Sue Jamison-Powell,

Andrew Garbett,

Erica Kucharczyk,

Duncan A. Rowland,

Kevin MorganAuthors Info & Claims

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2497 - 2506

https://doi.org/10.1145/2470654.2481345

Published: 27 April 2013 Publication History

Abstract

There is an identified need for objective, reliable, and scalable methods of measuring and recording sleep. Such methods must be designed for easy integration into people's lives in order to support both sleep therapy and everyday personal informatics. This paper describes the design and evaluation of a mobile phone application to record sleep, the design of which has substantive foundation in clinical sleep research. Two user studies were carried out which demonstrate that the application produces valid measurements of sleep quality and high levels of usability, whilst not seriously disturbing sleep or the sleep environment. These findings suggest that the app is suitable for both everyday sleep monitoring in a personal informatics context, and for integration into sleep interventions.

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Index Terms

Validating a mobile phone application for the everyday, unobtrusive, objective measurement of sleep
1. Human-centered computing

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cover image ACM Conferences

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2013

3550 pages

ISBN:9781450318990

DOI:10.1145/2470654

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Copyright © 2013 ACM.

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Published: 27 April 2013

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April 27 - May 2, 2013

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CHI '13 Paper Acceptance Rate 392 of 1,963 submissions, 20%;

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

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Dritsa DHouben S(2024)How Design Researchers Make Sense of Data Visualizations in Data-Driven Design: An Uncertainty-Aware Sensemaking ModelACM Transactions on Computer-Human Interaction10.1145/368526831:6(1-53)Online publication date: 31-Jul-2024
https://dl.acm.org/doi/10.1145/3685268
Siebra CWac K(2023)Designing ontologies for behaviours based on temporal passive dataApplied Ontology10.3233/AO-23027818:1(71-97)Online publication date: 25-Apr-2023
https://dl.acm.org/doi/10.3233/AO-230278
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
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Kwok TKiefer PRaubal M(2023)Unobtrusive interaction: a systematic literature review and expert surveyHuman–Computer Interaction10.1080/07370024.2022.216240439:5-6(380-416)Online publication date: Feb-2023
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Vincent AGupta ALi RShaw CAkhyani SMayora OForti SMeyer JMamykina L(2019)Data acquisition and visual analytic tool-set for paediatric sleep dataProceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3329189.3329228(320-326)Online publication date: 20-May-2019
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Liang LYu CZhou X(2019)The Index System of Mobile Health Application Based on the AHP-Fuzzy Comprehensive Evaluation Method2019 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI44817.2019.9002886(577-583)Online publication date: Dec-2019
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Roomkham SLovell DCheung JPerrin D(2018)Promises and Challenges in the Use of Consumer-Grade Devices for Sleep MonitoringIEEE Reviews in Biomedical Engineering10.1109/RBME.2018.281173511(53-67)Online publication date: 2018
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