Problem
Research questions and friction points this paper is trying to address.
surgical team
interaction modeling
high-stakes environments
dataset fragmentation
team performance
Towards Actionable Surgical Team Dynamics: from Teamwork to Counterfactual Annotations
🤖 AI Summary
该研究通过构建一个扩展的多模态数据集，包含手术团队互动的录音、转录和多层次注释，并引入反事实注释，以支持对手术环境中团队协作及性能的研究。
📝 Abstract
Modeling team interactions in high-stakes environments such as operating rooms is critical for understanding how coordination, communication, and individual behaviors shape team performance and safety outcomes. Existing datasets in this domain are often fragmented across modalities, annotation schemes, and formats, limiting their ability to support integrated analyses of real-world collaborative processes. We address this limitation by introducing an extended multimodal dataset for surgical team interaction analysis, built from real operating room recordings. Starting from an existing corpus, we construct an analysis-ready version of the data by providing speaker diarization, transcripts, and multi-level annotations capturing team performance, interaction processes, and individual characteristics. Team performance is assessed using a standardized surgical teamwork evaluation protocol, while interaction quality and individual attributes are annotated through structured rating schemes covering collaboration, group dynamics, and non-technical skills. To further support the study of coordination breakdowns and performance variability, we introduce counterfactual annotations that describe plausible alternative team outcomes in the presence of observed interaction failures, enabling analysis of how specific behavioral patterns may relate to different trajectories of team performance. In addition, we provide structured temporal and relational representations designed to support computational modeling of teamwork processes and the design of AI-assisted collaborative systems. The dataset is designed to support the study of how individual actions, interaction patterns, and team-level processes jointly contribute to team outcomes in surgical settings, providing a unified resource for analyzing collaborative behavior in high-stakes domains.
Innovation
Methods, ideas, or system contributions that make the work stand out.
multimodal dataset
counterfactual annotations
teamwork analysis
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