The recent trend of aging population, not to mention the unprecedented pandemic, draws great attention from the general public about health concerns. Since healthcare information technology is different from non-healthcare information technology, additional contexts should be properly incorporated into technology acceptance research to accurately identify influential factors affecting the acceptance of wearable healthcare technology. Thus, we selectively reconfigured factors from health, privacy, and socio-demographic contexts to formulate a health-aware acceptance model. Then, it was empirically analyzed using structural equation modeling. Based on the results, whereas privacy concerns were directly associated with intention to use wearable healthcare technology, health concerns were not. Moreover, age had a moderating effect on social influence and facilitating conditions. These findings suggest valuable insights that the adoption rate of healthcare technology is increased by 1) keeping personal information securely, 2) facilitating social interaction among users, and 3) offering intuitive user experience for elderly people.

人口老龄化的最新趋势，更不用说史无前例的大流行了，引起了公众对健康问题的极大关注。由于医疗保健信息技术不同于非医疗保健信息技术，因此应将其他上下文适当地纳入技术接受研究中，以准确识别影响可穿戴医疗保健技术接受的影响因素。因此，我们有选择地重新配置了来自健康，隐私和社会人口统计学背景的因素，以制定健康意识的接受模型。然后，使用结构方程模型进行了经验分析。根据结果​​，虽然隐私问题与使用可穿戴医疗技术的意图直接相关，但健康问题却没有。而且，年龄对社会影响力和促进条件的影响中等。这些发现表明，医疗技术的采用率提高了以下宝贵的见解：1）安全地保存个人信息； 2）促进用户之间的社交互动； 3）为老年人提供直观的用户体验。