自动驾驶系统中的人类相似感知:通过TAM和自动化社会存在视角探索使用后的信任和持续意图
Xu Wang1, Lie Guo1,2, Linli Xu3
1School of Mechanical Engineering, Dalian University of Technology, Dalian, China.
Ergonomics
|February 20, 2026
概括
这项研究表明,在自动驾驶系统 (ADS) 中感知到的温暖和能力增加了用户的信任和采用. 温暖比竞争力更有影响力,指导未来的ADS设计,以获得更好的用户体验.
科学领域:
- 人与计算机的互动.
- 技术心理学技术的心理学.
- 自动驾驶系统自动驾驶系统
背景情况:
- 心灵感知理论解释了人类对技术的类似属性.
- 自动驾驶系统 (ADS) 需要了解用户的信任和采用因素.
- 在技术上与人类相似的关键维度是能力和热情.
研究的目的:
- 在ADS中引入感知能力和热情作为人类相似性的维度.
- 提出和验证ADS信任和采用后使用模型,扩展TAM.
- 研究人类相似性,信任和自动化社交存在 (ASP) 对ADS延续意向的影响.
主要方法:
- 进行了一项驾驶模拟器实验,以操纵用户对能力和热情的看法.
- 提出了一个后使用模型,整合了人类相似的维度,信任和ASP.
- 多层结构方程建模被用来验证该模型的280个实验样本.
主要成果:
- 感知到的竞争力和热情显著提高了感知到的易用性,有用性和自动化社交存在 (ASP).
- 这两个维度共同促进信任和ADS的持续使用.
- 温暖感知比能力感知更能吸引用户的注意力.
- 使用后的信任比传统的TAM途径对延续意向的影响更大.
结论:
- 设计ADS以注意感知到温暖和能力至关重要,以促进用户的信任和采用.
- 温暖是用户参与ADS的一个特别重要的因素.
- 拟议的模型为开发以用户为中心的自动驾驶系统提供了有价值的见解,鼓励持续使用.
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