Research on the Intention of Use of Remote Monitoring Technology for the Elderly Based on Technology Acceptance Model
- 10.2991/assehr.k.211011.009How to use a DOI?
- Population Aging, Remote Monitoring Technology, Intention of Use, Technology Acceptance Model
As China’s population ages, the safety of older adults living alone is a matter of social security and stability. Information technology-based remote monitoring technology for smart elderly care is of great concern to society. The article presents hypotheses based on a technology acceptance model and analyzes and tests the questionnaire data using SPSS19.0 and AMOS24.0 software. It was found that the perceived ease of use of remote monitoring technology had a significant positive effect on perceived usefulness; the perceived usefulness and perceived ease of use of remote monitoring technology had a significant positive impact on attitude; the perceived usefulness and attitude of remote monitoring technology had a significant positive effect on the intention of use; gender, age, education, and health status had a different impact on perceived usefulness, perceived ease of use The perceived ease of use is the most critical factor affecting the attitude of older adults toward remote monitoring technology. To facilitate companies to develop more applicable and straightforward remote monitoring technologies for the elderly, the article proposes corresponding suggestions from the perspective of product development direction and technology innovation strategy.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xixian Zheng AU - Haixia Tan AU - Hebo Lu PY - 2021 DA - 2021/10/12 TI - Research on the Intention of Use of Remote Monitoring Technology for the Elderly Based on Technology Acceptance Model BT - Proceedings of the 2021 6th International Conference on Modern Management and Education Technology（MMET 2021） PB - Atlantis Press SP - 42 EP - 48 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.211011.009 DO - 10.2991/assehr.k.211011.009 ID - Zheng2021 ER -