poster

A Survey of Notification Designs in Commercial mHealth Apps

Authors:

Julia Woodward,

Katarina Jurczyk,

Kathryn M. Ross,

Jaime RuizAuthors Info & Claims

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 232, Pages 1 - 7

https://doi.org/10.1145/3411763.3451639

Published: 08 May 2021 Publication History

Abstract

Mobile health (mHealth) apps can support users’ behavioral changes towards healthier habits (e.g., increasing activity) through goal setting, self-monitoring, and notifications. In particular, mHealth app notifications can aid in behavioral change through increasing user app engagement and adherence to health objectives. Previous studies have established empirically-derived notification design recommendations; however, prior work has shown that few mHealth apps are grounded in advised health behavior theories. Therefore, we wanted to examine if there was also a gap between recommendations and practice for mHealth notifications. We surveyed 50 mHealth apps and found a disconnect in several areas (e.g., tailoring, interactivity). Our findings show that mHealth apps can be improved to further support users’ health goals. We discuss open research questions in the context of mHealth notifications.

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Cited By

Pretolesi DMotnikar LBieg TGafert MUhl J(2024)Exploring user preferences: customisation and attitudes towards notifications in mobile health and well-being applicationsBehaviour & Information Technology10.1080/0144929X.2024.243489244:1(2-18)Online publication date: 2-Dec-2024
https://doi.org/10.1080/0144929X.2024.2434892
Sergio WStröele VDantas MBraga RMacedo D(2024)Enhancing well-being in modern education: A comprehensive eHealth proposal for managing stress and anxiety based on machine learningInternet of Things10.1016/j.iot.2023.10105525(101055)Online publication date: Apr-2024
https://doi.org/10.1016/j.iot.2023.101055
Berardi VFowers RRubin GStecher C(2023)Time of Day Preferences and Daily Temporal Consistency for Predicting the Sustained Use of a Commercial Meditation App: Longitudinal Observational StudyJournal of Medical Internet Research10.2196/4248225(e42482)Online publication date: 10-Apr-2023
https://doi.org/10.2196/42482
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cover image ACM Conferences

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

2965 pages

ISBN:9781450380959

DOI:10.1145/3411763

Editors:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan

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Published: 08 May 2021

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Cited By

Pretolesi DMotnikar LBieg TGafert MUhl J(2024)Exploring user preferences: customisation and attitudes towards notifications in mobile health and well-being applicationsBehaviour & Information Technology10.1080/0144929X.2024.243489244:1(2-18)Online publication date: 2-Dec-2024
https://doi.org/10.1080/0144929X.2024.2434892
Sergio WStröele VDantas MBraga RMacedo D(2024)Enhancing well-being in modern education: A comprehensive eHealth proposal for managing stress and anxiety based on machine learningInternet of Things10.1016/j.iot.2023.10105525(101055)Online publication date: Apr-2024
https://doi.org/10.1016/j.iot.2023.101055
Berardi VFowers RRubin GStecher C(2023)Time of Day Preferences and Daily Temporal Consistency for Predicting the Sustained Use of a Commercial Meditation App: Longitudinal Observational StudyJournal of Medical Internet Research10.2196/4248225(e42482)Online publication date: 10-Apr-2023
https://doi.org/10.2196/42482
Williams LPinto MAbrahim HBhattacharya AHarrison TBurton CMcIntyre JNegi LHayes G(2023)Designing an Evidence-based Mental Health Intervention Alongside University StudentsHuman-Computer Interaction10.1007/978-3-031-35572-1_13(180-202)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35572-1_13
Sheng YDoyle JBond RJaiswal RGavin SDinsmore J(2022)Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trialDIGITAL HEALTH10.1177/205520762211259578(205520762211259)Online publication date: 22-Sep-2022
https://doi.org/10.1177/20552076221125957
Pan SBrouwer-Brolsma ERen XVos SBrombacher ALucassen D(2022)Record or Recall? Exploring Self-Reported Dietary Assessment Methods for Office Workers during the COVID-19 Work-from-Home PeriodNordic Human-Computer Interaction Conference10.1145/3546155.3546649(1-12)Online publication date: 8-Oct-2022
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Cheng YHsu TFried JChao P(2022)Are we Ready to be e-Social Service Practitioners for Older Adults? Potential of Taiwanese Social Service College StudentsIEEE Access10.1109/ACCESS.2022.317416810(52451-52461)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3174168

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