利用身体作为具体选择的信息来源,推进运动心理学的判断和决策研究

Laura Voigt , Jannis Friedrich , Patricia Grove , Nils Heinrich , Sandra Ittlinger , Maša Iskra , Lisa Koop , Alexej Michirev , Simone Sparascio , Markus Raab
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引用次数: 5

摘要

成功的运动表现通常需要在动态、复杂和不确定的环境中选择做什么以及如何做。因此,了解体育运动中的判断和决策过程对研究人员和应用从业者都至关重要。尽管研究取得了进展,从多个角度审视了JDMS,但在所涉及过程的知识方面仍存在重大差距。在这篇文章中,我们探讨了如何通过承认认知和行动动力学是相互交织、并行部署并双向影响的,来扩展对JDMS的理论理解。我们提出了一种综合简单启发式和具体认知的整体方法来解释JDMS。重要的是,我们的目的不是贬低以前的JDMS理论,而是举例说明具体化的选择如何改变当前对体育判断和决策过程的解释。从这种具体选择的角度,我们重新解释了关于JDMS的四篇典型研究论文的发现,每一篇论文都代表了JDMS中最具影响力的观点之一(即经济、社会认知、认知和生态动力学方法)。最后,我们从具体选择的角度讨论了JDMS研究的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing judgment and decision-making research in sport psychology by using the body as an informant in embodied choices

Successful sports performance often requires choosing what to do and how to do it in dynamic, complex, and uncertain environments. Thus, an understanding of the processes underpinning judgment and decision making in sports (JDMS) is crucial for both researchers and applied practitioners. Despite the research developments, examining JDMS from several perspectives, there are still significant gaps in the knowledge of the processes involved. In this article we explore how the theoretical understanding of JDMS can be extended by acknowledging that cognition and action dynamics are intertwined, deploy in parallel, and influence each other bidirectionally. We present a holistic approach that integrates simple heuristics and embodied cognition to explain JDMS. Importantly, our aim is not to devalue previous JDMS theories but rather to exemplify how embodied choices can redirect the current interpretation of judgment and decision-making processes in sports. Taking this embodied choice perspective, we reinterpret the findings of four prototypical research papers on JDMS, each representing one of the most influential perspectives in JDMS (i.e., the economic, social cognition, cognitive, and ecological dynamics approaches). Last, we discuss future directions for JDMS research from an embodied choice perspective.

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