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Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model

INTRODUCTION: As the proportion of the world's elderly population continues to increase, wearable devices can provide ideas for solving a series of problems caused by population aging. Therefore, it is of great significance for the development of intelligent elderly care and the improvement of...

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Autores principales: Chen, Junxun, Wang, Tao, Fang, Zhenyu, Wang, Hongtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868808/
https://www.ncbi.nlm.nih.gov/pubmed/36699866
http://dx.doi.org/10.3389/fpubh.2022.1035398
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author Chen, Junxun
Wang, Tao
Fang, Zhenyu
Wang, Hongtao
author_facet Chen, Junxun
Wang, Tao
Fang, Zhenyu
Wang, Hongtao
author_sort Chen, Junxun
collection PubMed
description INTRODUCTION: As the proportion of the world's elderly population continues to increase, wearable devices can provide ideas for solving a series of problems caused by population aging. Therefore, it is of great significance for the development of intelligent elderly care and the improvement of the quality of elderly care services to explore the factors that influence the intention of elderly users to accept wearable devices. METHODS: An improved unified theory of acceptance and use of technology (UTAUT) model is constructed from the perspective of elderly individuals, and new parameters are added, including four factors related to wearable devices, including performance expectancy, perceived cost, hedonic value and aesthetic appeal, and three factors related to elderly individuals, including personal physiological conditions, health anxiety and personal innovativeness in information technology. The data analysis was accomplished with the partial least square regression structural equation modeling. RESULTS: The findings of this study revealed that performance expectancy, perceived cost, hedonic value and aesthetic appeal all have significant impact on elderly users' intention to use wearable devices. Furthermore, personal innovativeness in information technology, personal physiological condition, and intention to use all have significant impact on elderly users' actual usage behavior of wearable devices. However, there is no obvious relationship between health anxiety and actual usage behavior. DISCUSSION: Elderly adults' attention to wearable devices plays an important role in the development of the wearable device-related industry chain, which provides management suggestions for stakeholders.
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spelling pubmed-98688082023-01-24 Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model Chen, Junxun Wang, Tao Fang, Zhenyu Wang, Hongtao Front Public Health Public Health INTRODUCTION: As the proportion of the world's elderly population continues to increase, wearable devices can provide ideas for solving a series of problems caused by population aging. Therefore, it is of great significance for the development of intelligent elderly care and the improvement of the quality of elderly care services to explore the factors that influence the intention of elderly users to accept wearable devices. METHODS: An improved unified theory of acceptance and use of technology (UTAUT) model is constructed from the perspective of elderly individuals, and new parameters are added, including four factors related to wearable devices, including performance expectancy, perceived cost, hedonic value and aesthetic appeal, and three factors related to elderly individuals, including personal physiological conditions, health anxiety and personal innovativeness in information technology. The data analysis was accomplished with the partial least square regression structural equation modeling. RESULTS: The findings of this study revealed that performance expectancy, perceived cost, hedonic value and aesthetic appeal all have significant impact on elderly users' intention to use wearable devices. Furthermore, personal innovativeness in information technology, personal physiological condition, and intention to use all have significant impact on elderly users' actual usage behavior of wearable devices. However, there is no obvious relationship between health anxiety and actual usage behavior. DISCUSSION: Elderly adults' attention to wearable devices plays an important role in the development of the wearable device-related industry chain, which provides management suggestions for stakeholders. Frontiers Media S.A. 2023-01-09 /pmc/articles/PMC9868808/ /pubmed/36699866 http://dx.doi.org/10.3389/fpubh.2022.1035398 Text en Copyright © 2023 Chen, Wang, Fang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Chen, Junxun
Wang, Tao
Fang, Zhenyu
Wang, Hongtao
Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model
title Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model
title_full Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model
title_fullStr Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model
title_full_unstemmed Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model
title_short Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model
title_sort research on elderly users' intentions to accept wearable devices based on the improved utaut model
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868808/
https://www.ncbi.nlm.nih.gov/pubmed/36699866
http://dx.doi.org/10.3389/fpubh.2022.1035398
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