AI Soccer Analyst: Stage-Aware and Verifiable Human-AI Collaboration for Soccer Data Analysis
Read the original on arXiv AI →AI Soccer Analyst is a mixed‑initiative system that guides analysts through six revisable stages—Data Understanding, Problem Definition, Structured Planning, Execution, Evidence‑Grounded Reporting, and Interaction and Refinement—to produce soccer data analyses. A formative study with five analysts shaped design goals around automation, verifiability, human control, and accessibility, while a task‑based evaluation with 16 participants showed that 33 of 48 tasks met completion criteria and participants reported high quality, reliability, and verifiability of outputs. Interaction logs revealed that domain knowledge emerged during clarification, planning, and refinement, demonstrating that stage‑aware human‑AI collaboration can produce inspectable, revisable, and verifiable analyses while keeping domain experts in control.
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