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Sports teams as superorganisms: Implications of sociobiological models of behaviour for research and practice in team sports performance analysis

机译:运动队作为超生物:行为的社会生物学模型对团队运动表现分析的研究和实践的启示

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Significant criticisms have emerged on the way that collective behaviours in team sports have been traditionally evaluated. A major recommendation has been for future research and practice to focus on the interpersonal relationships developed between team players during performance. Most research has typically investigated team game performance in subunits (attack or defence), rather than considering the interactions of performers within the whole team. In this paper, we offer the view that team performance analysis could benefit from the adoption of biological models used to explain how repeated interactions between grouping individuals scale to emergent social collective behaviours. We highlight the advantages of conceptualizing sports teams as functional integrated 'super-organisms' and discuss innovative measurement tools, which might be used to capture the superorganismic properties of sports teams. These tools are suitable for revealing the idiosyncratic collective behaviours underlying the cooperative and competitive tendencies of different sports teams, particularly their coordination of labour and the most frequent channels of communication and patterns of interaction between team players. The principles and tools presented here can serve as the basis for novel approaches and applications of performance analysis devoted to understanding sports teams as cohesive, functioning, high-order organisms exhibiting their own peculiar behavioural patterns.
机译:传统上对团队运动中的集体行为进行评估的方式已经引起了严重的批评。对于未来的研究和实践,主要的建议是着重研究团队成员在表现期间建立的人际关系。大多数研究通常以小组(进攻或防御)为单位来研究团队比赛的表现,而不是考虑整个团队中表演者的互动。在本文中,我们提供了以下观点:团队绩效分析可以受益于采用生物学模型,该生物学模型用于解释分组个人之间的重复互动如何扩展到新兴的社会集体行为。我们强调将运动队概念化为功能集成的“超级生物”的优势,并讨论创新的测量工具,这些工具可用于捕获运动队的超生物特性。这些工具适用于揭示不同运动队合作和竞争倾向的特质集体行为,尤其是他们的劳力协调以及团队成员之间最频繁的沟通渠道和互动方式。此处介绍的原理和工具可作为性能分析的新方法和应用的基础,这些方法和应用致力于将运动队理解为表现出自己独特行为方式的凝聚力,功能正常的高阶生物。

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