Chen Ke, Chan Alan Hoi Shou
a Department of Systems Engineering and Engineering Management , City University of Hong Kong , Kowloon , Hong Kong.
Ergonomics. 2014;57(5):635-52. doi: 10.1080/00140139.2014.895855. Epub 2014 Mar 24.
The purpose of this study was to develop and test a senior technology acceptance model (STAM) aimed at understanding the acceptance of gerontechnology by older Hong Kong Chinese people. The proposed STAM extended previous technology acceptance models and theories by adding age-related health and ability characteristics of older people. The proposed STAM was empirically tested using a cross-sectional questionnaire survey with a sample of 1012 seniors aged 55 and over in Hong Kong. The result showed that STAM was strongly supported and could explain 68% of the variance in the use of gerontechnology. For older Hong Kong Chinese, individual attributes, which include age, gender, education, gerontechnology self-efficacy and anxiety, and health and ability characteristics, as well as facilitating conditions explicitly and directly affected technology acceptance. These were better predictors of gerontechnology usage behaviour (UB) than the conventionally used attitudinal factors (usefulness and ease of use).
本研究的目的是开发并测试一个老年技术接受模型（STAM），旨在了解香港老年华人对老年技术的接受情况。所提出的STAM通过纳入老年人与年龄相关的健康和能力特征，扩展了先前的技术接受模型和理论。采用横断面问卷调查法，对香港1012名55岁及以上的老年人进行抽样，对所提出的STAM进行了实证检验。结果表明，STAM得到了有力支持，能够解释老年技术使用中68%的方差。对于香港老年华人来说，个人属性，包括年龄、性别、教育程度、老年技术自我效能感和焦虑，以及健康和能力特征，还有促进条件，都明确且直接地影响了技术接受度。与传统使用的态度因素（有用性和易用性）相比，这些因素是老年技术使用行为（UB）更好的预测指标。
