Abstract
The aim of this study was to understand complex and dynamic coordination, which refers to the nonverbal interaction of more than three members. This would be applied to smooth and effective role-sharing, as in multiplayer games with AI characters. Our previous study indicated the importance of resilient help using a coordinated drawing task involving a triad. In the experiment, each participant operated a reel to change the thread tension and moved a pen connected to the three threads to draw an equilateral triangle. Three heterogeneous roles were shared: the pulling and relaxing roles moving the pen as if pulling it closer to the hand and supporting its smooth movement, respectively. However, these roles alone cannot draw a triangle’s side because of the task specifications. The adjusting role must moderately intervene in the two roles to correct the pen trajectory, which can deviate. The multiple regression model using pen position and tension data revealed that the third role was related to the high task performance of the pen’s quick movement while minimizing deviation. To constructively understand this resilient helping role, this study conducted multi-agent simulation using equations of motion. Here, the tension in the adjusting role was changed as optimally as possible so that the resultant force of the three roles would coincide on a side. The results showed that the proposed model partially replicates the pen trajectory. Overall, this role might anticipate the forces of the other roles based on the performance information, that can be perceived.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
The position vector of the reel in the relaxing role is not considered because the force in this role is extremely small (see the Pulling and Relaxing roles section).
References
Fujii, K., Yokoyama, K., Koyama, T., Rikukawa, A., Yamada, H., Yamamoto, Y.: Resilient help to switch and overlap hierarchical subsystems in a small human group. Sci. Rep. 6, 23911 (2016). https://doi.org/10.1038/srep23911
Braun, D.A., Ortega, P.A., Wolpert, D.M.: Nash equilibria in multi-agent motor interactions. PLoS Comput. Biol. 5(8), e1000468 (2009). https://doi.org/10.1371/journal.pcbi.1000468
Yokoyama, K., Yamamoto, Y.: Three people can synchronize as coupled oscillators during sports activities. PLoS Comput. Biol. 7(10), e1002181 (2011). https://doi.org/10.1371/journal.pcbi.1002181
Ichikawa, J., Fujii, K.: Analysis of group behavior based on sharing heterogeneous roles in a triad using a coordinated drawing task. Front. Psychol. 13, 890205 (2022). https://doi.org/10.3389/fpsyg.2022.890205
Maruno, S.: Effects of social interaction on preschool children’s acquisition of procedural knowledge and “self-other perspectives coordination’’. Jpn. J. Dev. Psychol. 1(2), 116–127 (1991)
Ichikawa, J., Fujii, K.: Force-based modeling of heterogeneous roles in the coordinated behavior of a triad (2023, Manuscript submitted for publication)
Tsutsui, K., Fujii, K., Kudo, K., Takeda, K.: Flexible prediction of opponent motion with internal representation in interception behavior. Biol. Cybern. 115, 473–485 (2021)
Steiner, S., Macquet, A.C., Seiler, R.: An integrative perspective on interpersonal coordination in interactive team sports. Front. Psychol. 8, 1440 (2017). https://doi.org/10.3389/fpsyg.2017.01440
Acknowledgments
This work was supported by JSPS KAKENHI Grant Numbers 21K18033 and 24K20562, and AY 2023 (Special Application) Research Grants of Amano Institute of Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ichikawa, J., Fujii, K. (2024). Force-Based Modeling of a Resilient Helping Role in Coordinated Behavior of a Triad. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2024 Posters. HCII 2024. Communications in Computer and Information Science, vol 2114. Springer, Cham. https://doi.org/10.1007/978-3-031-61932-8_18
Download citation
DOI: https://doi.org/10.1007/978-3-031-61932-8_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-61931-1
Online ISBN: 978-3-031-61932-8
eBook Packages: Computer ScienceComputer Science (R0)