Automatic Analysis of Collaboration Through Human Conversational Data Resources: A Review
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Abstract (arXiv)
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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References · 10
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- 2023Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology Viewcited by 222
- 2025Evaluating LLM-based Agents for Multi-Turn Conversations: A Surveycited by 57
- 2019The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialoguecited by 46
- 2020The Discussion Tracker Corpus of Collaborative Argumentationcited by 5
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- 2022Perceived personality state estimation in dyadic and small group interaction with deep learning methodscited by 1
- 2023Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddingscited by 1
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