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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.17078 |
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| _version_ | 1866909547385323520 |
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| author | Wong, Saika Chen, Zhentao Pan, Mi Skibniewski, Miroslaw J. |
| author_facet | Wong, Saika Chen, Zhentao Pan, Mi Skibniewski, Miroslaw J. |
| contents | Psychophysiological methods present a promising approach to fostering enhanced mutual communication and collaboration between human workers and robots. Despite their potential, there is still limited understanding of how to effectively integrate psychophysiological methods to improve human-robot collaboration (HRC) in construction. This paper addresses this gap by critically reviewing the use of psychophysiological methods for HRC within construction environments, employing a concept-methodology-value philosophical framework. The analysis reveals that measuring brain activity using electroencephalography is the most widely used method, while most of the works are still at the proof of concept stage and lack empirical evidence. Three potential research directions were proposed: the integration of multi-modal psychophysiological signals, enriching the existing experimental settings for better generalizability, and leveraging advanced biocompatible or contactless technologies for effective signal detection. The findings should benefit subsequent exploration and practical applications of psychophysiological methods to enable better implementation of robots and support HRC in construction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_17078 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring psychophysiological methods for human-robot collaboration in construction Wong, Saika Chen, Zhentao Pan, Mi Skibniewski, Miroslaw J. Robotics Emerging Technologies Psychophysiological methods present a promising approach to fostering enhanced mutual communication and collaboration between human workers and robots. Despite their potential, there is still limited understanding of how to effectively integrate psychophysiological methods to improve human-robot collaboration (HRC) in construction. This paper addresses this gap by critically reviewing the use of psychophysiological methods for HRC within construction environments, employing a concept-methodology-value philosophical framework. The analysis reveals that measuring brain activity using electroencephalography is the most widely used method, while most of the works are still at the proof of concept stage and lack empirical evidence. Three potential research directions were proposed: the integration of multi-modal psychophysiological signals, enriching the existing experimental settings for better generalizability, and leveraging advanced biocompatible or contactless technologies for effective signal detection. The findings should benefit subsequent exploration and practical applications of psychophysiological methods to enable better implementation of robots and support HRC in construction. |
| title | Exploring psychophysiological methods for human-robot collaboration in construction |
| topic | Robotics Emerging Technologies |
| url | https://arxiv.org/abs/2503.17078 |