在对象组织任务中使用社会机器人的循环内人类错误检测.
Helena Anna Frijns1, Matthias Hirschmanner2, Barbara Sienkiewicz3
1Institute of Management Science, TU Wien, Vienna, Austria.
Frontiers in robotics and AI
|May 1, 2024
概括
了解机器人故障是改善人机合作的关键. 参与者测试系统限制表明,故障可以有效地提高用户对机器人系统的心理模型.
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
- 认知科学 认知科学
背景情况:
- 在人机协作中,失败是不可避免的,需要强大的错误检测和补救策略.
- 了解系统意识错误,特别是机器人的知识库,对于设计弹性机器人系统至关重要.
- 人类合作伙伴可以通过深入了解机器人的知识和决策过程来增强错误检测.
研究的目的:
- 在联合对象组织任务期间调查人机交互中的故障.
- 探索不同沟通方式 (语音,可视化,组合) 对错误检测和用户心理模型的影响.
- 分析用户如何与机器人系统互动,并测试机器人系统的局限性,从而引发错误.
主要方法:
- 对31名参与者进行了用户研究,他们与Pepper机器人进行了对象组织任务的交互.
- 采用了各种各样的沟通方式:语音,可视化和两者的组合,使机器人能够传达学习的配置.
- 通过观察,采访和分析生成的对象配置来收集数据,以了解错误模式和用户行为.
主要成果:
- 在31名参与者中,有23人更喜欢语音和可视化结合的交流方式.
- 参与者故意增加任务的复杂性,探测系统的局限性和引发错误.
- 观察到的试错行为,表明故障源于机器人能力,用户操作和环境相互作用的相互作用.
结论:
- 结合通信模式显著提高了用户对人机交互的偏好.
- 由测试系统边界驱动的用户诱导的故障,在完善理解方面起着富有成效的作用.
- 人机协作中的失败可以被利用来构建更准确的机器人系统的用户心理模型,并改善整体交互设计.
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