Liu Mengru, Kong Anthony, Lau Newman, Feng Zeping, Liu Xi
School of Design, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
Laboratory for Artificial Intelligence in Design, Hong Kong, Hong Kong SAR, China.
Front Sports Act Living. 2024 Oct 9;6:1404701. doi: 10.3389/fspor.2024.1404701. eCollection 2024.
In basketball training, self-evaluation plays a crucial role in the decision-making and execution of movements of players. The self-evaluation of players is influenced by their perception of own basketball ability and self-confidence state. This study aimed to explore potential discrepancies between self-confidence levels of players and their decision-making performance, while also characterizing different types of players.
Data was collected from 20 youth basketball players who participated in a decision-making video task and a self-confidence assessment. Based on data from their self-confidence and decision-making awareness assessment, the K-means cluster analysis was used to categorize the players into different groups. Then, ANOVA and Scheffe test were conducted to compare these clusters.
The cluster analysis identified four distinct profiles of players and the results of the ANOVA and Scheffe tests revealed significant differences between the four clusters. The "High Self-confidence & Low Decision-making Awareness" players might display an overconfident mindset, while the "High Self-confidence & High Decision-making Awareness" players potentially demonstrated the better performance and maintained a consistent and confident attitude. The "Low Self-confidence & High Decision-making Awareness" players appeared to lack confidence and needed to foster greater faith in their abilities. Finally, the "Low Self-confidence & Low Decision-making Awareness" players required a long-term and comprehensive training program to improve their skills.
These preliminary findings informed the development of a self-evaluation matrix, designed to help coaches better understand player profiles and design tailored interventions. Moreover, this study contributes on sport calibration and enhances understanding of the behavioral and psychological states of players.
在篮球训练中，自我评估在球员动作的决策和执行中起着至关重要的作用。球员的自我评估受到他们对自身篮球能力的认知和自信状态的影响。本研究旨在探讨球员自信水平与其决策表现之间的潜在差异，同时对不同类型的球员进行特征描述。
收集了20名参加决策视频任务和自信评估的青年篮球运动员的数据。根据他们的自信和决策意识评估数据，采用K均值聚类分析将球员分为不同组。然后，进行方差分析和谢弗检验以比较这些聚类。
聚类分析确定了四种不同类型的球员，方差分析和谢弗检验的结果显示这四个聚类之间存在显著差异。“高自信与低决策意识”的球员可能表现出过度自信的心态，而“高自信与高决策意识”的球员可能表现出更好的表现并保持一致和自信的态度。“低自信与高决策意识”的球员似乎缺乏信心，需要对自己的能力树立更大的信心。最后，“低自信与低决策意识”的球员需要一个长期的综合训练计划来提高他们的技能。
这些初步研究结果为自我评估矩阵的开发提供了依据，该矩阵旨在帮助教练更好地了解球员类型并设计量身定制的干预措施。此外，本研究有助于运动校准，并增强对球员行为和心理状态理解。
