Michael Joseph S. Dino , Kenneth W. Dion , Peter M. Abadir , Chakra Budhathoki , Chien-Ming Huang , Irvin Ong , Patrick Tracy Balbin , Cheryl R.Dennison Himmelfarb , Patricia M. Davidson
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引用次数: 0
Abstract
Background
Staying active has been one of the mainstays in promoting health in older adults. Despite the potential of innovative health technologies for fitness, there is limited understanding of the factors influencing older adults’ behavioral intention to engage in mixed reality physical exercise.
Purpose
To develop a theoretical model of technology usability and acceptance influencing behavioral intention to use a mixed reality physical exercise program among older adults.
Design
A cross-sectional study was conducted to develop a virtual exercise coach in a mixed-reality environment. Older adults (n = 64) were purposively selected from a community senior center in the Philippines and participated in the exercise program. Their responses were analyzed using a partial least square approach to structural equation modeling.
Results
The generated measurement model demonstrated valid and reliable estimates. Its structural model (R2 = 0.64) had a good fit (GoF = 0.56) with consistent quality indices. It also indicated that performance expectancy, facilitating conditions, and information quality are significant (p < 0.05) factors explaining behavioral intention to use the virtual coach system among older adults.
Conclusion
The belief in technology usefulness, trust, data quality, and the value of shared responsibility between the technology promoters and users significantly facilitates behavioral intention to use mixed reality virtual coach systems. The study results are valuable in developing technologies and improving older adult participation in technology-driven community health programs.
背景保持活跃一直是促进老年人健康的主要方法之一。Purpose To develop a theoretical model of technology usability and acceptance influencing behavioral intention to use a mixed reality physical exercise program among older adults.Design一项横断面研究旨在开发混合现实环境中的虚拟运动教练。研究从菲律宾的一个社区老年中心有目的性地选取了老年人(n = 64),并让他们参加了锻炼项目。采用偏最小二乘法的结构方程模型对他们的回答进行了分析。其结构模型(R2 = 0.64)具有良好的拟合度(GoF = 0.56)和一致的质量指标。结论对技术有用性的信念、信任、数据质量以及技术推广者和用户之间共同承担责任的价值极大地促进了老年人使用混合现实虚拟教练系统的行为意向。研究结果对开发技术和提高老年人参与技术驱动的社区健康项目具有重要价值。