HCCD-DS: A Human-Centric, Context-Aware Dataset for Decision Support Systems with Expertise-Driven Intervention
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HCCD-DS is an open, human-centric dataset designed to support research on intelligent decision support systems (DSS). Unlike traditional datasets that focus solely on prediction accuracy, HCCD-DS captures the full decision lifecycle, including contextual factors, system recommendations, human-in-the-loop interactions, decision overrides, and outcome-level consequences. The dataset is specifically designed to facilitate research on: - Human–AI collaboration - Context-aware decision-making - Explainable and trustworthy DSS - Decision override behaviour and trust calibration
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Zenodo创建时间:
2026-01-25



