Human-human collaboration: what can we learn from Human Group Collaboration to improve Human-Robot Collaboration?
Human-human collaboration: what can we learn from Human Group Collaboration to improve Human-Robot Collaboration?
Entrainment during collaboration positively affects trust, willingness to collaborate, and likeability towards collaborators. In this workshop paper, we present a mixed-method lab study to investigate characteristics of successful entrainment leading to group-based temporal synchronisation. Inspired by industrial work, we developed a fast-paced, short-cycle repetitive task. Using motion tracking, we investigated entrainment in both dyadic and triadic task completion. Initial findings are related to different leader-follower patterns, the importance of the point-of-assembly, and the value of sensory information. Based on these findings we hope to inform robotic behaviour for improved human-robot collaboration.
Schneiders, Eike
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Fourie, Christopher
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Shah, Julie
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Jung, Malte
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1 January 2023
Schneiders, Eike
9da80af0-1e27-4454-90e2-eb1abf7108bd
Fourie, Christopher
e075a469-bac8-4ac1-9b3c-239a071e007e
Shah, Julie
813a5fb7-d8ea-45fb-906e-d30600131318
Jung, Malte
dbbf8c51-8951-4a5c-803c-9fdb61a74be8
Schneiders, Eike, Fourie, Christopher, Shah, Julie and Jung, Malte
(2023)
Human-human collaboration: what can we learn from Human Group Collaboration to improve Human-Robot Collaboration?
In ACM/IEEE International Conference on Human-Robot Interaction (HRI'23 WYSD Workshop).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Entrainment during collaboration positively affects trust, willingness to collaborate, and likeability towards collaborators. In this workshop paper, we present a mixed-method lab study to investigate characteristics of successful entrainment leading to group-based temporal synchronisation. Inspired by industrial work, we developed a fast-paced, short-cycle repetitive task. Using motion tracking, we investigated entrainment in both dyadic and triadic task completion. Initial findings are related to different leader-follower patterns, the importance of the point-of-assembly, and the value of sensory information. Based on these findings we hope to inform robotic behaviour for improved human-robot collaboration.
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Published date: 1 January 2023
Identifiers
Local EPrints ID: 494608
URI: http://eprints.soton.ac.uk/id/eprint/494608
PURE UUID: 4a1f1ba2-c502-455c-969e-7ca213a4f598
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Date deposited: 10 Oct 2024 17:05
Last modified: 11 Oct 2024 02:11
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Contributors
Author:
Eike Schneiders
Author:
Christopher Fourie
Author:
Julie Shah
Author:
Malte Jung
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