思想理论和人类机器人信任修复修复
Connor Esterwood1, Lionel P Robert2,3
1School of Information, University of Michigan, Ann Arbor, 48109, USA. cte@umich.edu.
Scientific reports
|June 19, 2023
概括
机器人错误会破坏信任,但道歉和否认可以帮助修复它. 心理感知显著影响这些信任修复策略在人机交互中的有效性.
科学领域:
- 人与机器人的交互
- 认知科学 认知科学
- 信任的动态 信任的动态
背景情况:
- 机器人,像人类一样,可以犯错,导致用户信任下降.
- 信任修复策略 (道歉,否认,承诺) 在人机交互 (HRI) 中表现出混合的有效性.
- 人类对机器人的感知 (例如,情绪,意图) 可能会影响修复的有效性.
研究的目的:
- 调查心智感知对机器人信任修复策略有效性的影响.
- 为了确定心理感知中的个体差异是否会影响人类对机器人道歉,否认和承诺的反应.
主要方法:
- 通过亚马逊机械土耳其人招募的400名参与者进行了一项研究.
- 参与者与机器人在模拟仓库任务中互动,机器人犯了三次错误.
- 在每一次错误之后,机器人使用道歉,否认或承诺,参与者评价了他们的信任水平.
主要成果:
- 人们发现,在机器人道歉和否认的有效性方面,心灵感知方面的个体差异至关重要.
- 这项研究强调,对HRI信任修复的全方位方法是不够的.
- 心理感知是影响特定信任修复策略成功的一个关键因素.
结论:
- 了解人脑感知对于开发人机交互中有效的信任修复机制至关重要.
- 未来的HRI系统应该考虑个体对心智感知的差异,以优化信任修复策略.
- 基于用户心智感知的个性化信任修复可以增强人机协作和信任.
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