HCJul 29

TactiPlay: Multi-Granularity Tactical Parsing and Video-Anchored Match Review for Amateur Badminton Players

arXiv:2607.271254.6
Predicted impact top 64% in HC · last 90 daysOriginality Incremental advance
AI Analysis

For amateur badminton players, TactiPlay offers a novel tool to support tactical reflection, addressing a gap in existing tools that only provide aggregate statistics or generic summaries.

Amateur badminton players struggle to extract tactical insights from match videos without expert guidance. TactiPlay, a system providing multi-granularity, video-anchored tactical analysis, elicited more frequent, concrete, actionable, and appropriate reflections than a baseline in a within-subjects study (N=16).

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.

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