用对话数据自动分析协作过程，梳理方法与方向。
Automatic Analysis of Collaboration Through Human Conversational Data Resources: A Review
- 基于任务导向的对话数据，分析人类协作行为。
- 系统整理了理论、编码方案与建模方法。
- 适合研究人机协作与智能对话系统的学者。
协作是一种以任务为导向的高层次人类行为。在多数情况下，对话是信息交换与协调的主要媒介，使得对话数据成为自动分析协作过程的宝贵资源。本文聚焦协作的言语层面，综述了基于任务导向的人类对话资源进行协作分析的相关工作，涵盖相关理论、编码体系、研究任务与建模方法。旨在回答如何利用任务导向的人类对话数据开展协作分析。本文希望为该领域提供实用参考，并揭示未来研究的未探索方向。
原文摘要 · Abstract (English)
Collaboration is a task-oriented, high-level human behavior. In most cases, conversation serves as the primary medium for information exchange and coordination, making conversational data a valuable resource for the automatic analysis of collaborative processes. In this paper, we focus on verbal aspects of collaboration and conduct a review of collaboration analysis using task-oriented conversation resources, encompassing related theories, coding schemes, tasks, and modeling approaches. We aim to address the question of how to utilize task-oriented human-human conversational data for collaboration analysis. We hope our review will serve as a practical resource and illuminate unexplored areas for future collaboration analysis.
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