Exploring the Acceptance of Wearable Technology Among the Elderly
(2024) INFM10 20241Department of Informatics
- Abstract
- This study explores the acceptance of wearable technology among the elderly, utilizing the Smart Wearable Acceptance Model (SWAM) developed by Li et al. (2019) as the theoretical framework. Through qualitative research methods, key factors influencing acceptance were identified, including perceived ease of use, perceived usefulness, facilitating conditions, social influence, and self-reported health conditions, as well as spousal influence. The study found significant differences in perceived usefulness and social influence between the age groups of 60-70 and over 70. These factors interrelate and collectively impact the acceptance and use of wearable devices among the elderly. The findings indicate that core functionalities such as heart... (More)
- This study explores the acceptance of wearable technology among the elderly, utilizing the Smart Wearable Acceptance Model (SWAM) developed by Li et al. (2019) as the theoretical framework. Through qualitative research methods, key factors influencing acceptance were identified, including perceived ease of use, perceived usefulness, facilitating conditions, social influence, and self-reported health conditions, as well as spousal influence. The study found significant differences in perceived usefulness and social influence between the age groups of 60-70 and over 70. These factors interrelate and collectively impact the acceptance and use of wearable devices among the elderly. The findings indicate that core functionalities such as heart rate and blood pressure monitoring significantly enhance device acceptance, while complex features are often overlooked. Spousal support and the elderly's knowledge of device functionalities also significantly affect their willingness to use these devices. Ultimately, this research has important implications for promoting the widespread adoption of wearable technology among the elderly population. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9159200
- author
- Zhang, Xuan and Feng, Shiyi LU
- supervisor
- organization
- course
- INFM10 20241
- year
- 2024
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Smart Wearable Technology, Elderly, Technology Acceptance, Heterogeneity in the Elderly
- language
- English
- id
- 9159200
- date added to LUP
- 2024-06-14 10:41:43
- date last changed
- 2024-06-14 10:41:43
@misc{9159200,
abstract = {{This study explores the acceptance of wearable technology among the elderly, utilizing the Smart Wearable Acceptance Model (SWAM) developed by Li et al. (2019) as the theoretical framework. Through qualitative research methods, key factors influencing acceptance were identified, including perceived ease of use, perceived usefulness, facilitating conditions, social influence, and self-reported health conditions, as well as spousal influence. The study found significant differences in perceived usefulness and social influence between the age groups of 60-70 and over 70. These factors interrelate and collectively impact the acceptance and use of wearable devices among the elderly. The findings indicate that core functionalities such as heart rate and blood pressure monitoring significantly enhance device acceptance, while complex features are often overlooked. Spousal support and the elderly's knowledge of device functionalities also significantly affect their willingness to use these devices. Ultimately, this research has important implications for promoting the widespread adoption of wearable technology among the elderly population.}},
author = {{Zhang, Xuan and Feng, Shiyi}},
language = {{eng}},
note = {{Student Paper}},
title = {{Exploring the Acceptance of Wearable Technology Among the Elderly}},
year = {{2024}},
}