Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration
CoRR(2024)
摘要
Successful entrainment during collaboration positively affects trust,
willingness to collaborate, and likeability towards collaborators. In this
paper, we present a mixed-method study to investigate characteristics of
successful entrainment leading to pair and group-based synchronisation. Drawing
inspiration from industrial settings, we designed a fast-paced, short-cycle
repetitive task. Using motion tracking, we investigated entrainment in both
dyadic and triadic task completion. Furthermore, we utilise audio-video
recordings and semi-structured interviews to contextualise participants'
experiences. This paper contributes to the Human-Computer/Robot Interaction
(HCI/HRI) literature using a human-centred approach to identify characteristics
of entrainment during pair- and group-based collaboration. We present five
characteristics related to successful entrainment. These are related to the
occurrence of entrainment, leader-follower patterns, interpersonal
communication, the importance of the point-of-assembly, and the value of
acoustic feedback. Finally, we present three design considerations for future
research and design on collaboration with robots.
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