基于传感器的智能健康技术采用的心理障碍和感知驱动因素
Dat Hung Ho1, Byeong-Hoon Lee2, Byungkwon Jeon2
1Department of Global Business, Kyungsung University, Busan 48434, Republic of Korea.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
感知到的信誉可以促进雷达健康监测的采用,而技术焦虑则会阻碍这一点. 了解这些因素是以用户为中心的智能健康解决方案的关键.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 技术接受模型 技术接受模型
背景情况:
- 智能健康技术,特别是雷达传感器,提供非侵入性,实时的健康监测.
- 心理和感知障碍可能会阻碍这些先进医疗保健系统的广泛采用.
- 现有的模型需要改进,以解决新医疗技术的特定用户接受因素.
研究的目的:
- 通过整合感知可信性 (PC) 和技术焦虑 (TA) 来扩展技术接受模型 (TAM).
- 调查用户对基于雷达的健康监测系统的接受程度.
- 确定影响采用智能健康技术的心理因素.
主要方法:
- 在越南Binh Duong智能城市对222名参与者进行了定量调查.
- 使用结构方程建模 (SEM) 来分析变量之间的复杂关系.
- 该研究研究了PC和TA对感知有用性 (PU),感知易用性 (PEOU),对使用态度 (ATU) 和使用意图 (ITU) 的影响.
主要成果:
- 感知可信度 (PC) 对感知有用性 (PU) 和感知易用性 (PEOU) 有积极的影响,随后影响对使用态度 (ATU) 和使用意图 (ITU).
- 技术焦虑 (TA) 成为一个重要的心理障碍,对ATU和ITU产生负面影响,并缓解PC和PEOU对PU的影响.
- 与非学生相比,学生参与者报告了较低的PEOU和ITU,这表明这群人群面临的具体挑战.
结论:
- 感知可信度对于促进基于雷达的健康监测的接受至关重要.
- 解决技术焦虑对于克服智能健康采用心理障碍至关重要.
- 需要量身定制的战略来加强传感器集成健康技术的采用,考虑到学生等用户子组.
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