A cluster phase analysis for collective behavior in team sports

作者:Lopez Felip Maurici A*; Davis Tehran J; Frank Till D; Dixon James A
来源:Human Movement Science, 2018, 59: 96-111.
DOI:10.1016/j.humov.2018.03.013

摘要

Collective behavior can be defined as the ability of humans to coordinate with others through a complex environment. Sports offer exquisite examples of this dynamic interplay, requiring decision making and other perceptual-cognitive skills to adjust individual decisions to the team self organization and vice versa. Considering players of a team as periodic phase oscillators, synchrony analyses can be used to model the coordination of a team. Nonetheless, a main limitation of current models is that collective behavior is context independent. In other words, players on a team can be highly synchronized without this corresponding to a meaningful coordination dynamics relevant to the context of the game. Considering these issues, the aim of this study was to develop a method of analysis sensitive to the context for evidence-based measures of collective behavior.

  • 出版日期2018-6