SynthesisFrontiers in public health2022
Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model.
Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Older Adults' Continued Use of Smart Healthcare Applications: An Integrated HBM-UTAUT Model with Technology Anxiety.Healthcare (Basel, Switzerland) · 2026Article
- The impact of elderly privacy fatigue on the willingness to use wearable devices: the mediating role of perceived risk and the moderating role of self-efficacy.BMC health services research · 2026Article
- Trust and anxiety as primary drivers of digital health acceptance in multiple sclerosis: toward an extended disease-specific technology acceptance model.Frontiers in digital health · 2026Article
- Older adults' adoption of shared service platforms outside long-term care insurance in Japan based on technology acceptance model.Frontiers in public health · 2026Article
- Exploring care adoption intention among older adults using XGBoost: a rural case in Anhui, China.Frontiers in public health · 2026Article
- Technical Functions of Digital Wearable Products (DWPs) in the Consumer Acceptance Model: A Systematic Review and Bibliometric Analysis with a Biomimetic Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Seniors' attitudes and intention toward IoT enabled healthcare devices in emerging economies.Scientific reports · 2025Article
- Returning Individualized Wearable Sensor Results to Older Adult Research Participants: A Pilot Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Exploring Smart Health Wearable Adoption Among Singaporean Older Adults Based on Self-Determination Theory: Web-Based Survey Study.JMIR aging · 2025Article
- Unlocking Self-Esteem in Older Adults: A Conceptual Exploration of Technological Proficiency and Its Effects.Behavioral sciences (Basel, Switzerland) · 2025Review
- Research on the influencing factors of users' continuance intentions of wearable medical devices-a perspective integrating the UTAUT model and gamification elements.Frontiers in public health · 2025Article
- Intention to use a health information platform in supportive housing for people with disabilities: An application of the UTAUT model.PloS one · 2025Article
- Bridging UTAUT and HBM: determinants of wearable device adoption among chronic disease patients.Frontiers in public health · 2025Article
- Consumer ethnocentrism and political identity in value formation within public health communication for healthcare products: evidence from China.Frontiers in public health · 2025Article
- The influence of sports technology device usage on middle-aged health anxiety: chain mediation effects of health control perception and self-efficacy reconstruction.Frontiers in public health · 2025Article
- Research on the factors affecting the adoption of health short videos by the college students in China: unification based on TAM and UTAUT model.Frontiers in psychology · 2025Article
- Factors influencing the acceptance of medical AI chat assistants among healthcare professionals and patients: a survey-based study in China.Frontiers in public health · 2025Article
- Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study.JMIR mHealth and uHealth · 2024Article
- Human Factors and Organizational Issues in Health Informatics: Review of Recent Developments and Advances.Yearbook of medical informatics · 2024Review
- Willingness to use smart fetal heart rate monitoring devices among pregnant women: an extension of the technology acceptance model.Frontiers in psychology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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