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No effects but useful? long term use of smart health devices

Published: 12 September 2016 Publication History

Abstract

Wearable and networked smart health devices provide tremendous opportunities for supporting health behavior in the long term, contributing to better self-awareness, health knowledge, and health literacy. We conduct a study in which we observe the use of smart health devices over a prolonged period of time under real-life conditions. Deploying the Theory of Planned Behavior, we measure changes in the user's attitude towards a healthy behavior. Our results indicate that while there are only minor measurable effects on health understanding, there are potentials for long term use of smart health devices as tools for, e.g., self-understanding, decision making, and targeted interventions.

References

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Meyer, J., & Boll, S. (2014). Smart Health Systems for Personal Health Action Plans. In 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom). Natal, Brasil.
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Meyer, J., & Hein, A. (2013). Live Long and Prosper: Potentials of Low-Cost Consumer Devices for the Prevention of Cardiovascular Diseases. J Med Internet Res, 2(2).
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Klasnja, P., Consolvo, S., McDonald, D. W., Landay, J. a, & Pratt, W. (2009). Using mobile & personal sensing technologies to support health behavior change in everyday life: lessons learned. AMIA Symposium, 2009, 338--342.
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Meyer, J., Lee, Y. S., Siek, K., Boll, S., Mayora, O., & Röcker, C. (2012). Wellness Interventions and HCI : Theory, Practice, and Technology. ACM SIGHIT Record, 2(2), 51--53.
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Ajzen, I (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes 50 (2): 179--211.
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Francis, J., Eccles, M. P., Johnston, M., Walker, a. E., Grimshaw, J. M., Foy, R., ... Bonetti, D. (2004). Constructing Questionnaire Based on The Theory of Planned Behaviour.
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Neyer, F. J., Felber, J., & Gebhardt, C. (2012). Entwicklung und Validierung einer Kurzskala zur Erfassung von Technikbereitschaft. (Development and validation of a short scale for the assessment of technology readiness). Diagnostica, 58(2), 87--99.
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Cited By

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  • (2023)Exploring the Lived Experience of Behavior Change Technologies: Towards an Existential Model of Behavior Change for HCIACM Transactions on Computer-Human Interaction10.1145/360349730:6(1-50)Online publication date: 25-Sep-2023
  • (2022)Longitudinal user experience studies in the IoT domainProceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems10.1145/3554364.3559135(1-13)Online publication date: 17-Oct-2022
  • (2022)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-98546-2_6(77-104)Online publication date: 23-Jul-2022
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  1. No effects but useful? long term use of smart health devices

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    cover image ACM Conferences
    UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
    September 2016
    1807 pages
    ISBN:9781450344623
    DOI:10.1145/2968219
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 12 September 2016

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    Author Tags

    1. long term monitoring
    2. theory of planned behavior
    3. wellbeing intervention

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    • Extended-abstract

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    • Hewlett Packard Innovation Research Programme

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    UbiComp '16

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2023)Exploring the Lived Experience of Behavior Change Technologies: Towards an Existential Model of Behavior Change for HCIACM Transactions on Computer-Human Interaction10.1145/360349730:6(1-50)Online publication date: 25-Sep-2023
    • (2022)Longitudinal user experience studies in the IoT domainProceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems10.1145/3554364.3559135(1-13)Online publication date: 17-Oct-2022
    • (2022)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-98546-2_6(77-104)Online publication date: 23-Jul-2022
    • (2021)hQChainInternational Journal of E-Health and Medical Communications10.4018/IJEHMC.20211101.oa312:6(1-20)Online publication date: 1-Nov-2021
    • (2020)Weight-Related Information Avoidance Prospectively Predicts Poorer Self-Monitoring and Engagement in a Behavioral Weight Loss InterventionAnnals of Behavioral Medicine10.1093/abm/kaaa03455:2(103-111)Online publication date: 3-Jun-2020
    • (2020)Ubiquitous healthcare: a systematic mapping studyJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02513-x14:5(5021-5046)Online publication date: 26-Sep-2020
    • (2019)Rethinking Technologies for Behavior ChangeACM Transactions on Computer-Human Interaction10.1145/331814226:4(1-30)Online publication date: 17-Jun-2019
    • (2019)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-31620-4_5(65-92)Online publication date: 1-Nov-2019
    • (2018)Defining AdherenceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31917692:1(1-22)Online publication date: 26-Mar-2018
    • (2016)Visualization of Complex Health Data on Mobile DevicesProceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care10.1145/2985766.2985774(31-34)Online publication date: 16-Oct-2016

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