Work

Interaction dynamics for service design: simulating context sharing through collective improvisational dance

Year: 2026

Type: article

Abstract: ABSTRACT: This study modelled service dynamics, specifically focusing on cognitive misalignments among actors, and conducted a multi-agent simulation using Bayesian inference, referring to an improvisational dance experiment. The results revealed that individual cognition influences context convergence: “No decay” condition fixed initial biases and hindered convergence, whereas faster decay increased fluctuation but enabled reconfiguration, suggesting the need for unlearning. When actors weighted others’ expressions less, cognitive misalignments widened despite strong subjective conviction.

Source: Proceedings of the Design Society

DOI: 10.1017/pds.2026.10473

Authors: Shun Yamazaki, Yuito Mitsuno, Ken-ichi Sawai, Jean-Francois Boujut, Akane Matsumae

Institutions: Kyushu University, Institut polytechnique de Grenoble, Centre National de la Recherche Scientifique, Laboratoire des Sciences pour la Conception, l'Optimisation et la Production, Université Grenoble Alpes

Language: English

Topic: Multi-Agent Systems and Negotiation

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid:

Funder: Japan Society for the Promotion of Science