在人类机器人协作的顺序和同时模式期间流利和参与的生理指标
Sruthi Ramadurai1, Christian Gutierrez2, Heejin Jeong3
1Mechanical and Industrial Engineering Department, College of Engineering, University of Illinois at Chicago, Chicago, IL, USA.
IISE transactions on occupational ergonomics and human factors
|December 4, 2023
概括
同时的人机协作 (HRC) 通过减少置时间来提高感知流性和参与度. 像心电图这样的生理信号可以预测这些状态,这对于设计有效的机器人队友至关重要.
科学领域:
- 人与机器人的交互
- 物理计算生理学计算
- 职业健康 职业健康 职业健康
背景情况:
- 了解人机组合流性对于有效的协作至关重要.
- 目前的研究缺乏对人机协作 (HRC) 的完整生理学视角.
研究的目的:
- 调查流和参与共享空间HRC的生理相关性.
- 为了比较HRC中的同步与顺序交互模式,用于材料分类任务.
主要方法:
- 一项实验性研究与24名参与者在一个共享空间的HRC材料分类任务.
- 测量了流利性和参与度的主观感知.
- 监测生理反应,包括心电图 (ECG) 和低频功率.
主要成果:
- 与序列交互相比,同时交互显著增加了感知流性和参与度,主要是通过减少人类置时间.
- 在HRC期间,生理反应 (ECG,低频功率) 发生了显著的变化.
- 这些生理信号准确地预测了流 (90%) 和参与 (97%).
结论:
- 同时的HRC增强了用户体验和参与度.
- 生理信号提供了客观的流度和参与HRC的指标.
- 个人用户偏好必须与生理数据一起考虑,以获得最佳的HRC系统设计.
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