Intervention study focusing on the relationship between game environment and performance

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K19500
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 59020:Sports sciences-related
• Research Institution: Hirosaki University (2023); Osaka Metropolitan University (2022); Kobe University of Welfare (2020-2021)
• Principal Investigator: Hashimoto Yasuhiro 弘前大学, 医学研究科, 特任助教 (00779259)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 野球 / 試合の流れ / MLB / ビッグデータ

Outline of Final Research Achievements

This study conducted intervention experiments based on the performance-environment reciprocal flow model, including research utilizing big data as the premise for one model, studies derived from two models, and the actual experiment. As a result, we successfully formalized the paper on the performance-environment reciprocal flow model that serves as the premise, and significant progress was made, including other studies. However, while some effects were observed in the intervention, it was not possible to fully prove all the hypotheses envisioned, partly due to the use of big data in proposing the model. Despite attempting to elucidate phenomena using experimental data for big data and interventions, which represent contrasting research methods in this project, the results consistently indicate a trend.

Free Research Field

スポーツ科学、スポーツ心理学、情報科学、コーチング学

Academic Significance and Societal Importance of the Research Achievements

本研究では、介入の前提となるパフォーマンス－環境相互流れモデルの提案を行いためのビッグデータを用いた研究の論文化に成功し、このモデルと公のものとすることが出来た。また、介入実験を行い、セルフトークが投手の投球パフォーマンス（球速）を変化させることが可能であることをデータとして示すことが出来た。この結果によって、スポーツの試合中という様々な介入が難しい状況において、セルフトークを用いることで、自らパフォーマンスを変化させることが出来る可能性を示すことが出来た。また、トレーニング方法の手段としてもデータとして心理的介入の効果を示すことが出来た。