2023年度 人工知能学会全国大会(第37回)

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国際セッション » IS-5 Human interface, education aid

[2U5-IS-5] Human interface, education aid

2023年6月7日(水) 15:30 〜 17:10 U会場 (遠隔)

Chair: Tomohiro Yoshikawa (Suzuka university of medical science)

16:10 〜 16:30

[2U5-IS-5-03] Force-based modeling of heterogeneous roles in coordinated behavior of a triad

〇Jun Ichikawa1, Keisuke Fujii2,3,4 (1. Shizuoka University, 2. Nagoya University, 3. RIKEN, 4. PRESTO)

[[Online, Regular]]

キーワード:Coordinated group behavior, Role sharing, Adjustment, Multi-agent simulation, Force-based model

Humans often interact with others to achieve a group goal. Many studies on cognitive science, neuroscience, and sports science have investigated the coordination mechanisms and suggested the importance of role-sharing and adjustment using others' motor information. However, the adjustment process in the nonverbal behavior of a triad is not fully understood due to complex and dynamic interactions. We previously introduced a coordinated drawing task and conducted the behavioral experiment. The triads operated reels to change thread tensions, shared three heterogeneous roles (pulling, relaxing, and adjusting), and moved a pen connected to the three threads to draw an equilateral triangle. The results indicated that the adjusting role was related to high task performance, who helped resiliently without disturbing the pen's smooth movement while avoiding great pen deviation. To supplement these findings, this study formulated the three roles using equations of motion. The multi-agent simulation results showed that the adjusting role might use the degree of pen deviation reflected by others' motor information, such as the operating procedures and forces, and change the tension to draw at least three sides. The contribution of this study is to enhance the fundamental understanding of resilient adjustment required in team sports and haul seines.

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