Identifying Influential Actions in Human-Robot Interactions
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1866914379609407488 |
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| author | Jiang, Haoyang Xu, Chenfei Okadome, Yuya Nakamura, Yukata |
| author_facet | Jiang, Haoyang Xu, Chenfei Okadome, Yuya Nakamura, Yukata |
| contents | Human-robot interaction combines robotics, cognitive science, and human factors to study collaborative systems. This paper introduces a method for identifying influential robot actions using transfer entropy, a statistic that measures directed information transfer between time series. TE is effective for capturing complex, nonlinear interactions. We apply this method to analyze how robot actions affect human behavior during a conversation with a remotely controlled robot avatar. By focusing on the impact of proximity, our approach demonstrates TE's capability to identify key actions influencing human responses, highlighting its potential to improve the design and adaptability of robotic systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_07885 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Identifying Influential Actions in Human-Robot Interactions Jiang, Haoyang Xu, Chenfei Okadome, Yuya Nakamura, Yukata Robotics Human-robot interaction combines robotics, cognitive science, and human factors to study collaborative systems. This paper introduces a method for identifying influential robot actions using transfer entropy, a statistic that measures directed information transfer between time series. TE is effective for capturing complex, nonlinear interactions. We apply this method to analyze how robot actions affect human behavior during a conversation with a remotely controlled robot avatar. By focusing on the impact of proximity, our approach demonstrates TE's capability to identify key actions influencing human responses, highlighting its potential to improve the design and adaptability of robotic systems. |
| title | Identifying Influential Actions in Human-Robot Interactions |
| topic | Robotics |
| url | https://arxiv.org/abs/2603.07885 |