运动潜力的动态心理表型与人工智能识别

Dynamic Psychological Phenotypes of Athletic Potential and Artificial Intelligence Recognition

摘要: 现有研究对心理变化如何支持运动潜力判断尚缺乏整合。围绕情绪恢复、注意决策与动机调节，整合运动心理、纵向发展及数字表型证据，提出联结情境测量、个体内识别、训练反馈与长期验证的框架。现有证据支持动态监测与训练辅助，尚不足以据此判定长期潜力。未来应通过跨队伍追踪和干预检验识别的增量效度与实际收益，并保障运动者的数据控制权，为训练调整和持续参与提供依据。

Abstract: Existing research has yet to integrate how psychological changes can inform the assessment of athletic potential. Drawing on evidence from sport psychology, longitudinal developmental research, and digital phenotyping, this paper proposes a framework linking context-sensitive assessment, within-person pattern detection, training feedback, and long-term validation, with a focus on emotional recovery, attentional decision-making, and motivational regulation. Current evidence supports dynamic monitoring and its use in guiding training, but remains insufficient to predict long-term potential. Future research should use longitudinal studies across teams and intervention trials to test the incremental validity and practical benefits of this approach, while safeguarding athletes’ control over their data. Such work could provide a stronger basis for training adjustments and sustained sport participation.