Designing intelligent self-checkup based technologies for everyday healthy living

Jiang, Y., Ding, X., Liu, D., Gui, X., Zhang, W. and Zhang, W. (2022) Designing intelligent self-checkup based technologies for everyday healthy living. International Journal of Human-Computer Studies, 166, 102866. (doi: 10.1016/j.ijhcs.2022.102866)

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Abstract

Recent years have seen increasing interest in health promotion or disease prevention, rather than disease treatment/management, as a more cost-effective approach towards healthcare. Technologies designed to help build healthy habits, or lifestyle technologies, have important roles to play in that respect. However, so far, they are mainly explored without considering individual health statuses, which may lead to people’s excessive pursuit of quantified goals and cause negative health outcomes. In addition, while AI-powered health checkup technologies have become available for consumers to assess health on their own, they are mainly disease-oriented, and their potential for preventive health – everyday health assessment and early interventions through lifestyle changes – has been largely under-explored. This paper attempts to combine intelligent self-checkup and personalized lifestyle technologies so as to provide suggestions based on personal health status, as a potentially more effective approach to support preventive health in everyday life, or everyday healthy living as we call it in this paper. In particular, we present the iterative design process of a mobile application which supports AI-powered everyday health assessment based on face examination and adaptive inquiry, and provides personalized and adaptive lifestyle advice. Design improvements were made based on the first pilot study, and a 4-week field trial of the final design prototype reveals a number of design implications for intelligent health technologies to better support everyday healthy living.

Item Type:Articles
Additional Information:This work was supported by the National Natural Science Foundation of China (NSFC) [grant number 61672167].
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ding, Dr Sharon
Creator Roles:
Ding, X.Conceptualization, Formal analysis, Writing – original draft, Writing – review and editing, Supervision, Funding acquisition
Authors: Jiang, Y., Ding, X., Liu, D., Gui, X., Zhang, W., and Zhang, W.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:International Journal of Human-Computer Studies
Publisher:Elsevier
ISSN:1071-5819
ISSN (Online):1095-9300
Published Online:28 May 2022
Copyright Holders:Copyright © 2022 Elsevier Ltd.
First Published:First published in International Journal of Human-Computer Studies 166:102866
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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