Bridging Coaching Knowledge and AI Feedback to Enhance Motor Learning in Basketball Shooting Mechanics Through a Knowledge-Based SOP Framework

要旨

We present a methodology for designing an AI feedback system aimed at assisting basketball beginners in refining their shooting techniques during independent practice sessions. Mastering shooting mechanics requires consistent, precise repetition, which traditionally depends on coaching feedback and the breakdown of movements into steps during the early stages. However, due to limited coaching resources, this guidance is often unavailable, leading to ineffective and even detrimental motor learning. To bridge this gap, we propose a Standard Operating Procedure (SOP) framework grounded in expert human knowledge, or knowledge-based SOP, which allows our AI-driven system to verify and guide players' movements in real-time. Through a formative study involving interviews with 13 coaches and players, we identified key challenges faced by beginners, such as uncertainty in movement correctness and lack of guidance during unsupervised practice. Our AI system addresses these issues by providing immediate, actionable feedback using SOP tailored to individual players. In a study with 28 participants, we confirmed that our system improves shooting form, increases confidence in adjustments, and enhances self-awareness during practice. This work highlights the potential of integrating coaching expertise with AI to empower athletes with more effective tools for self-directed practice.

受賞
Honorable Mention
著者
Jian-Jia Weng
National Tsing Hua University, Hsinchu, Taiwan
Calvin Ku
National Tsing Hua University, Hsinchu, Taiwan
Jo Chien Wang
National Tsing Hua University, Hsinchu, Taiwan
Chih-Jen Cheng
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Tica Lin
Taiwan Institute of Sports Science, Kaohsiung, Taiwan
Yu-An Su
Acadmia Sinica, Taipei, Taiwan
Tsung-Hsun Tsai
National Tsing Hua University, Hsinchu, Taiwan
You-Yi Lin
Taipei First Girls High School, Taipei, Taiwan
Lun-Wei Ku
Academia Sinica, Taipei, Taiwan
Hung-Kuo Chu
National Tsing Hua University, Hsinchu, Taiwan
Min-Chun Hu
National Tsing Hua University, Hsinchu, Taiwan
DOI

10.1145/3706598.3713324

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713324

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Sports

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6 件の発表
2025-04-30 01:20:00
2025-04-30 02:50:00
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