TactiPlay：面向业余羽毛球爱好者的多粒度战术解析与视频锚定比赛复盘系统
TactiPlay: Multi-Granularity Tactical Parsing and Video-Anchored Match Review for Amateur Badminton Players
中文总结 AI 辅助
TactiPlay是面向业余羽毛球爱好者的交互式复盘系统，它基于国家级运动员标注的分类体系，实现回合级视频锚定的战术分析，能引发更有效的战术反思。
中文摘要 AI 辅助
业余羽毛球爱好者越来越多地记录比赛，但现有工具仅提供汇总统计或通用摘要，多数人无法在无专业指导的情况下提取战术洞见。一项针对8名参与者的形成性研究揭示了以回合为核心的多粒度、视频锚定战术分析需求。我们通过国家级运动员的标注提炼出表现问题分类体系，并提出TactiPlay这一交互式系统，它实现了专家分类体系指导的、回合级的视频锚定复盘工作流。该系统的分析流程将比赛事件组织为基于分类体系的反馈，其界面将结构化报告与回合摘要、视频证据及场地可视化关联。一项针对16名参与者的被试内研究显示，TactiPlay比报告加统计的基线条件能引发更频繁、具体、可操作且恰当的反思。这些发现表明，将复盘的比赛证据组织为分类体系指导的、视频关联的工作流，可支持业余选手的战术反思。
英文摘要
Amateur badminton players increasingly record matches, yet existing tools provide only aggregate statistics or generic summaries, leaving most unable to extract tactical insights without expert guidance. A formative study (N=8) reveals the need for multi-granularity, video-anchored tactical analysis centered on rallies. We derive a taxonomy of performance issues from national-level athletes' annotations and present TactiPlay, an interactive system that instantiates an expert-taxonomy-guided, rally-level, video-anchored review workflow. The system's analytical pipeline organizes match events into taxonomy-grounded feedback, while its interface links structured reports to rally summaries, video evidence, and court visualizations. A within-subjects study (N=16) shows that TactiPlay elicits more frequent, concrete, actionable, and appropriate reflections than a report-and-statistics baseline. These findings show how organizing reviewed match evidence into a taxonomy-guided, video-linked workflow can support amateur players' tactical reflection.
