Physiological Indicators of Fluency and Engagement during Sequential and Simultaneous Modes of Human-Robot Collaboration.

Sruthi Ramadurai, Christian Gutierrez, Heejin Jeong, Myunghee Kim
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Abstract

OCCUPATIONAL APPLICATIONSAn understanding of fluency in human-robot teaming from a physiological standpoint is still incomplete. In our experimental study involving 24 participants, we designed a scenario for shared-space human-robot collaboration (HRC) for a material sorting task. When compared to a sequential mode of interaction, the simultaneous mode resulted in significantly higher perceptions of fluency and engagement, primarily by reducing human idle time. These observations were complemented by significant changes in physiological responses, such as ECG entropy and low frequency power. These responses could predict fluency and engagement with accuracies of 90 and 97%, respectively. Notably, the perception of fluency and preferred mode of interaction were influenced by individual preferences. Hence, it is crucial to consider both physiological responses and user preferences when designing HRC systems, to ensure a positive experience with the robot teammate and to foster engagement in long-term teamwork. Furthermore, these signals can be obtained using a single robust, low-cost, and comfortable sensor.

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在顺序和同步模式的人机协作流畅性和参与的生理指标。
从生理学的角度理解人-机器人团队的流畅性仍然不完整。在我们涉及24名参与者的实验研究中,我们为材料分类任务设计了一个共享空间人机协作(HRC)场景。与顺序互动模式相比,同步模式显著提高了人们对流畅性和参与度的感知,主要是通过减少人类的空闲时间。这些观察结果还与心电熵和低频功率等生理反应的显著变化相辅相成。这些反应可以预测流利度和参与度,准确率分别为90%和97%。值得注意的是,流利度的感知和偏好的互动模式受到个人偏好的影响。因此,在设计HRC系统时,考虑生理反应和用户偏好是至关重要的,以确保与机器人队友的积极体验,并促进长期团队合作。此外,这些信号可以使用单个健壮、低成本和舒适的传感器获得。
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