人类形态框架和故障可理解性影响了对工业机器人的信任的不同方面
1Department of Psychology, George Mason University, Fairfax, VA, United States.
Frontiers in robotics and AI
|September 25, 2023
概括
人形机器人并不比技术机器人更值得信赖,但它们被认为更透明. 在可理解的失败后,机器人的目的被看作更为积极,突出了多维的信任.
科学领域:
- 人与机器人的交互
- 机器人技术 机器人技术 机器人技术
- 信任的动态 信任的动态
背景情况:
- 工业机器人中的人类形状特征旨在改善协作和耐失效.
- 人类机器人交互中的人类形象框架的潜在缺点尚未完全理解.
- 人形设计对信任的影响,特别是在失败后,需要进一步调查.
研究的目的:
- 调查人类形态框架如何影响对工业机器人的信任.
- 检查不同失败类型 (可理解与不可理解) 对信任动态的影响.
- 探索人类与机器人的合作中信任的多维性质.
主要方法:
- 一项实验室研究涉及51名参与者与机器人互动.
- 人形与技术机器人框架的比较.
- 在交互过程中引入可理解或不可理解的机器人故障.
主要成果:
- 人形机器人和技术机器人框架之间的一般信任没有显著差异.
- 人形机器人被认为比技术机器人更透明.
- 经历了一个可理解的失败导致对机器人的目的有了更积极的看法.
结论:
- 人形机器人的感知透明度可能不反映实际的透明度.
- 人与机器人互动的信任应该被多维地评估,而不仅仅是性能.
- 了解透明度和目的等信任方面对于有效的人机协作至关重要.
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