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Industry Trends

User Experience & Usability of Wearable Health Device: A Bibliometric Analysis of 2014–2023

ORCID Icon, , &
Received 20 Jan 2024, Accepted 16 May 2024, Published online: 04 Jul 2024
 

Abstract

The user experience and usability of Wearable Health Devices (WHD-UXU) play a pivotal role in determining user acceptance. However, there is a scarcity of comprehensive research systematically addressing the current focus and future research directions of WHD-UXU using bibliometric analysis. Therefore, to unveil the latest research progress and the evolutionary trajectory of WHD-UXU research hotspots over the past decade, this study leverages 365 papers related to WHD-UXU gathered from the Web of Science (WOS) database. Employing bibliometric methods and integrating tools like VOSviewer and CiteSpace, a knowledge map is formulated, encompassing aspects such as keyword co-occurrence, references co-citation, and research collaboration networks. The research findings highlight that current WHD-UXU research hotspots predominantly revolve around (1) the study of usability in wearable health devices, (2) research on mobile health of wearable health devices, (3) the study of health monitoring in wearable health devices, (4) research on rehabilitation treatment of wearable health devices, and (5) the study of user acceptance in wearable health devices. Future research is anticipated to focus on areas such as human-computer interaction, affective computing, artificial intelligence, human-machine trust, user self-disclosure, privacy algorithms, and system design evaluation. Finally, the study addresses future research directions and challenges in this field.

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Correction

Disclosure statement

No potential conflict of interest was reported by the author(s). We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.

Correction Statement

This article was originally published with errors, which have now been corrected in the online version. Please see Correction (http://dx.doi.org/10.1080/10447318.2024.2378577).

Additional information

Notes on contributors

Longxue Hu

Longxue Hu is a graduate student of design in the School of Design in Jiangnan University. Her research interests include user experience and interaction design.

Yongkang Chen

Yongkang Chen is a PhD candidate at the College of Design and Innovation, Tongji University. He holds a master’s degree in Information and Interaction Design. His research interests include human-computer interaction design and user experience, and human-computer collaboration in intelligent cockpit.

Enguo Cao

Enguo Cao is a professor in the Department of Industrial Design at Jiangnan University. He is mainly engaged in research on intelligent product design, human-computer interaction and user experience design.

Weifeng Hu

Weifeng Hu is a professor in the Department of Industrial Design at Jiangnan University. He is mainly engaged in research on industrial design, interaction and user experience design, and culture and design.

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