Movement synchronization in complex and dynamic team coordination: Relationship with mutual anticipation

2026-06-18

AI Summary

This study addresses the lack of quantitative analysis on movement synchronization mechanisms in real-world, highly adversarial team sports, particularly how mutual anticipation drives effective coordination among heterogeneous roles. Using a 3-on-3 basketball experiment, we collected offensive players’ trajectories, computed relative phases, and—novel in authentic dynamic team settings—applied Bayesian inference to model their probabilistic distribution. This approach enabled a quantitative characterization of the temporal evolution of synchronization structures and their deviation from baseline conditions. Results show that after tactical instruction, the probability of players exhibiting synchronized tendencies exceeded 70%, demonstrating that team strategies significantly enhance coordination grounded in mutual anticipation. These findings offer a novel methodological framework and empirical evidence for understanding human collective intelligence in complex interactive environments.

Abstract

Mutual anticipation of teammates' actions enables efficient interactions in team coordination that achieves a common goal and high performance. In team sports involving direct competition, such implicit and non-verbal interactions within short periods are required. If players begin moving only after observing their teammates, gaps may emerge, allowing opponents to interfere. When mutual anticipation functions properly, players' interactions are smooth without gaps, and their movements are expected to become synchronized. Synchronization represents a temporally stable structure in interactions and its mechanisms have been examined in previous studies. However, few studies have investigated synchronization in real-world coordination involving heterogeneous roles and interactions evolving over time, or quantitatively examined how temporally stable structures differ from a baseline. In our approach, we utilized team sports and introduced a statistical method to probabilistically examine these differences. The purpose of this study was to extract the temporal components of movement using 3-on-3 basketball. We calculated the relative phases in which players approached or moved away from their teammates during mini-games in a field experiment that investigated the effects of advice on offensive coordination. These frequency distributions were estimated using Bayesian inference and were compared before and after advice. The results showed that the probability of a synchronization trend among the offensive players after advice compared with before advice reached 70\% or higher. This may be a typical case that is related to mutual anticipation based on the team strategy established through coaching. These findings contribute to a quantitative understanding of coordination processes.

Problem

• movement synchronization
• team coordination
• mutual anticipation
• heterogeneous roles
• temporal stability

Innovation

• movement synchronization
• mutual anticipation
• Bayesian inference
• team coordination
• relative phase