Critical Factors for Adoption of Wearable Technology for the Elderly: Case Study of Thailand

Srizongkhram, Shayarath; Shirahada, Kunio; Chiadamrong, Navee

doi:10.23919/picmet.2018.8481990

Cited by 13 publications

(4 citation statements)

References 6 publications

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“…For these reasons, people in general are increasingly using WHTs (Malwade et al , 2018). Therefore, WHTs offer a solution to the increasing demand for elderly care, supporting the independence of the elderly and improving their overall quality of life (Srizongkhram et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Continued use intention of wearable health technologies among the elderly: an enablers and inhibitors perspective

Talukder

Laato

Islam

et al. 2021

INTR

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PurposeWearable health technologies (WHTs) show promise in improving the health and well-being of the aging population because they promote healthy lifestyles. They can be used to collect health information from users and encourage them to be physically active. Despite potential benefits of WHTs, recent studies have shown that older people have low continued use intention toward WHTs. Previous work on this topic is disjointed, and new theoretical viewpoints are required.Design/methodology/approachThe authors propose an enablers and inhibitors perspective to model factors influencing continued use intention of WHTs among the elderly. To test the model, we collected data from Chinese elderly (N = 295) who had prior experience using WHTs.FindingsThe study results show that social value is the strongest enabler of continued WHT use, and emotional and epistemic values and device quality also increase use continuance. Inertia and technology anxiety were identified as significant inhibitors. A post hoc importance performance map analysis revealed that while emotional value is a highly significant predictor of continued WHT use, existing WHTs do not stimulate such value in our sample.Research limitations/implicationsThe research findings illustrate the importance of incorporating user resistance in technology acceptance studies in general and WHT usage studies in particular. This study contributes by providing an integrative model of technology continued use intention for the elderly along with practical implications for policymakers.Originality/valueA limited number of prior studies have taken both enablers and inhibitors into account when explaining continued WHT use intention among the elderly. This paper fills this research gap and contributes to the WHT literature by considering both enablers and inhibitors in the same model. Moreover, this study contributes to the ongoing research on WHT, and more broadly, gerontechnology use among the elderly.

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Section: Introductionmentioning

confidence: 99%

Continued use intention of wearable health technologies among the elderly: an enablers and inhibitors perspective

Talukder

Laato

Islam

et al. 2021

INTR

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“…User satisfaction, effectiveness, efficiency, and simplicity of use were among the constructs that were measured. The research titled "Critical Factors for Adoption of Wearable Technology for the Elderly: Case Study of Thailand," done by [27], emphasised the predicted ongoing expansion of wearable technology in Thailand as a result of the country's ageing population. A quantitative survey was used to identify the key variables influencing the anticipation of the elderly and their caregivers to use wearable gadget technology.…”

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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“…The application of these technologies in healthcare is rapidly increasing. This is due to the variety of sensors that these gadgets are equipped with, including those that detect sound, images, body movements, and ambient light levels [12].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning and Smart Devices for Diabetes Management: Systematic Review

Makroum

Adda

Bouzouane

et al. 2022

Sensors

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(1) Background: The use of smart devices to better manage diabetes has increased significantly in recent years. These technologies have been introduced in order to make life easier for patients with diabetes by allowing better control of the stability of blood sugar levels and anticipating the occurrence of dangerous events (hypo/hyperglycemia), etc. That being said, the main objectives of the self-management of diabetes is to improve the lifestyle and life quality of patients with diabetes; (2) Methods: We performed a systematic review based on articles that focus on the use of smart devices for the monitoring and better management of diabetes. The search was focused on keywords related to the topic, such as “Diabetes”, “Technology”, “Self-management”, “Artificial Intelligence”, etc. This was performed using databases, such as Scopus, Google Scholar, and PubMed; (3) Results: A total of 89 studies, published between 2011 and 2021, were included. The majority of the selected research aims to solve a diabetes management problem (e.g., blood glucose prediction, early detection of risk events, and the automatic adjustment of insulin doses, etc.). In these studies, wearable devices were used in combination with artificial intelligence (AI) techniques; (4) Conclusions: Wearable devices have attracted a great deal of scientific interest in the field of healthcare for people with chronic conditions, such as diabetes. They are capable of assisting in the management of diabetes, as well as preventing complications associated with this condition. Furthermore, the usage of these devices has improved illness management and quality of life.

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Critical Factors for Adoption of Wearable Technology for the Elderly: Case Study of Thailand

Cited by 13 publications

References 6 publications

Continued use intention of wearable health technologies among the elderly: an enablers and inhibitors perspective

Continued use intention of wearable health technologies among the elderly: an enablers and inhibitors perspective

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

Machine Learning and Smart Devices for Diabetes Management: Systematic Review

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