Adoption of Wearable Devices by Older People: Changes in Use Behaviors and User Experiences

Ma, Zhaoyi; Gao, Qin; Yang, Mingjie

doi:10.1080/10447318.2022.2083573

Cited by 18 publications

(5 citation statements)

References 83 publications

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“…In the mHealth era, the design of mHealth devices should be tailored to the cognitive abilities and mindset of older individuals. Full consideration should be given to their eHealth literacy, incorporating improvements in usability, emphasizing the responsiveness of operations, and integrating monitoring functions that align with the physical activities of older individuals [ 63 ]. Such considerations aim to enhance the overall satisfaction of older individuals with mobile health care apps [ 64 ].…”

Section: Discussionmentioning

confidence: 99%

Media Use Behavior Mediates the Association Between Family Health and Intention to Use Mobile Health Devices Among Older Adults: Cross-Sectional Study

Chang,

Mai,

Zhang

et al. 2024

J Med Internet Res

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Background With the advent of a new era for health and medical treatment, characterized by the integration of mobile technology, a significant digital divide has surfaced, particularly in the engagement of older individuals with mobile health (mHealth). The health of a family is intricately connected to the well-being of its members, and the use of media plays a crucial role in facilitating mHealth care. Therefore, it is important to examine the mediating role of media use behavior in the connection between the family health of older individuals and their inclination to use mHealth devices. Objective This study aims to investigate the impact of family health and media use behavior on the intention of older individuals to use mHealth devices in China. The study aims to delve into the intricate dynamics to determine whether media use behavior serves as a mediator in the relationship between family health and the intention to use mHealth devices among older adults. The ultimate goal is to offer well-founded and practical recommendations to assist older individuals in overcoming the digital divide. Methods The study used data from 3712 individuals aged 60 and above, sourced from the 2022 Psychology and Behavior Investigation of Chinese Residents study. Linear regression models were used to assess the relationships between family health, media use behavior, and the intention to use mHealth devices. To investigate the mediating role of media use behavior, we used the Sobel-Goodman Mediation Test. This analysis focused on the connection between 4 dimensions of family health and the intention to use mHealth devices. Results A positive correlation was observed among family health, media use behavior, and the intention to use mHealth devices (r=0.077-0.178, P<.001). Notably, media use behavior was identified as a partial mediator in the relationship between the overall score of family health and the intention to use mHealth devices, as indicated by the Sobel test (z=5.451, P<.001). Subgroup analysis further indicated that a complete mediating effect was observed specifically between family health resources and the intention to use mHealth devices in older individuals with varying education levels. Conclusions The study revealed the significance of family health and media use behavior in motivating older adults to adopt mHealth devices. Media use behavior was identified as a mediator in the connection between family health and the intention to use mHealth devices, with more intricate dynamics observed among older adults with lower education levels. Going forward, the critical role of home health resources must be maximized, such as initiatives to develop digital education tailored for older adults and the creation of media products specifically designed for them. These measures aim to alleviate technological challenges associated with using media devices among older adults, ultimately bolstering their inclination to adopt mHealth devices.

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Section: Discussionmentioning

confidence: 99%

Media Use Behavior Mediates the Association Between Family Health and Intention to Use Mobile Health Devices Among Older Adults: Cross-Sectional Study

Chang,

Mai,

Zhang

et al. 2024

J Med Internet Res

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“…Some studies have proposed design principles for intelligent product for older adults [6,24,30]. For instance, visual controls, simple and easy-to-understand interactions, and feedback and alerts for emergencies must be considered.…”

Section: Design Features Of Intelligent Products For Older Adults In ...mentioning

confidence: 99%

“…However, their design did not cover interaction styles for older adults. Likewise, others suggested the need for sharper visual representations in interface buttons for older adults [12,30,38,55]. Icons work best for guidance, and substantial text search inputs are most effective for practical use.…”

Section: The Products' Ease Of Usementioning

confidence: 99%

The Usability Issues Encountered in the Design Features of Intelligent Products for Older Adults in China: A Scoping Review

Zhang

Alli

2023

Sustainability

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This study aims to expand upon the understanding of the multifaceted usability issues older adults encounter when using intelligent products. This was achieved by synthesizing extant research findings to come to an understanding of why usability issues still exist in intelligent products for older adults in China, even when appropriate design features are incorporated. This review was conducted by searching the literature on the Scopus, Springer, ScienceDirect, and China National Knowledge Infrastructure databases as well as Google Scholar using the terms “older adults in China”, “intelligent products”, and “usability.” Forty-three studies from between 2007 and 2022 were included in the review. The results reveal three salient aspects directly related to the usability issues of intelligent products experienced by older adults in China: (1) the usefulness of the product; (2) the ease of use of the product; and (3) the impact of the policy. The first two impact the effectiveness of the use of intelligent products, while the lack of policy intervention in the management system of intelligent products results in product clutter. This review provides insights for designers by proposing a conceptual framework for an intelligent product service platform for older adults, which will help researchers and research teams better understand the usability issues according to older adults’ feedback on intelligent products. We suggest a unified standard for intelligent product management in the future that is compatible across systems and reduces older adults’ learning stress.

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“…In a follow-up study by [23], titled "Adoption of Wearable Devices by Older People: Changes in Use Behaviours and User Experiences," it was shown that before WDs were actually utilised, respondents expected to use them for health data monitoring.…”

Section: Wearable Electronic Devicesmentioning

confidence: 99%

Enhancing Health Monitoring and Active Aging in the Elderly Population: A Study on Wearable Technology and Technology-Assisted Care

Vichayanan Rattanawiboomsom,

Samar Raza Talpur

2023

Int. J. Onl. Eng.

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The constant monitoring of human physical activity, behaviour, and physiological signs has undergone a revolution thanks to wearable technology, which has provided invaluable insights into many facets of everyday life. Wearable technology has become a potent instrument for improving healthcare efficiency and lowering costs as the prevalence of an ageing population and the need for technology-assisted care increase. By analysing gait patterns and promoting a healthy lifestyle in age-friendly settings, this study aims to investigate how valid and trustworthy wearable devices, in conjunction with technology-assisted care, can facilitate the monitoring and improvement of the health of the elderly population. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 standards for data inclusion and exclusion are used in the study, which collects data from the Scopus database. The results show that wearable technology, which offers two main device categories—those intended for healthcare professionals and those aimed at consumers—plays a critical role in gait-pattern analysis. These gadgets offer robust data-collecting capabilities, allowing for precise evaluation and tracking of walking habits. Furthermore, the incorporation of wearable technology with eHealth solutions enhances the quality of life for the aged population by enabling them to live in settings that are age-friendly and successfully manage their health. The study also emphasises how critical it is to use reliable wearable technology to address the diversity of health issues and the occurrence of chronic diseases among the senior population. According to the study’s findings, wearable technologies have great promise for promoting the health and well-being of senior citizens. To meet the unique requirements and problems of the ageing population and to guarantee the successful integration of wearable devices into healthcare practices, more research and development are needed. In the end, wearable technology has enormous potential to revolutionise aged care and enhance health outcomes in ageing-friendly settings.

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Adoption of Wearable Devices by Older People: Changes in Use Behaviors and User Experiences

Cited by 18 publications

References 83 publications

Media Use Behavior Mediates the Association Between Family Health and Intention to Use Mobile Health Devices Among Older Adults: Cross-Sectional Study

Media Use Behavior Mediates the Association Between Family Health and Intention to Use Mobile Health Devices Among Older Adults: Cross-Sectional Study

The Usability Issues Encountered in the Design Features of Intelligent Products for Older Adults in China: A Scoping Review

Enhancing Health Monitoring and Active Aging in the Elderly Population: A Study on Wearable Technology and Technology-Assisted Care

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