The Impact of AI-Powered Health Monitoring on the Quality of Life and Social Participation of the Elderly: Technology Acceptance Model Perspective

This article mainly explores the use of AI intelligent health monitoring by elderly in Taiwan and uses the technology acceptance model.It uses literature analysis and fuzzy analytic hierarchy process as research methods to conduct a FAHP questionnaire survey among elderly in Tainan, Taiwan.The theory considers perceived ease of use, Perceived usefulness, attitude and behavioral intention, and through calculation of the relative weights between various dimensions, the study found that after the introduction of AI intelligent health monitoring, elderly can not only effectively obtain personalized health advice, but also because it is easy to operate, making the elderly think that AI intelligent health monitoring is helpful.In addition, with the support of the government and family members, it will be easier for the elderly to accept AI intelligent health monitoring, effectively manage their health, improve their quality of life, and actively participate in social activities.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os5-7
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of AI-Powered Health Monitoring on the Quality of Life and Social Participation of the Elderly: Technology Acceptance Model Perspective

Li-Min Chuang, Z. Li
Proceedings of International Conference on Artificial Life and Robotics
Education and Learning Interventions
article

The Impact of AI-Powered Health Monitoring on the Quality of Life and Social Participation of the Elderly: Technology Acceptance Model Perspective

Li-Min Chuang, Z. Li
article en

Abstract

This article mainly explores the use of AI intelligent health monitoring by elderly in Taiwan and uses the technology acceptance model.It uses literature analysis and fuzzy analytic hierarchy process as research methods to conduct a FAHP questionnaire survey among elderly in Tainan, Taiwan.The theory considers perceived ease of use, Perceived usefulness, attitude and behavioral intention, and through calculation of the relative weights between various dimensions, the study found that after the introduction of AI intelligent health monitoring, elderly can not only effectively obtain personalized health advice, but also because it is easy to operate, making the elderly think that AI intelligent health monitoring is helpful.In addition, with the support of the government and family members, it will be easier for the elderly to accept AI intelligent health monitoring, effectively manage their health, improve their quality of life, and actively participate in social activities.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Chang Jung Christian University (TW)
Reduced inequalities
Openalex Percentile: Top 66%
Education and Learning Interventions
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