Automatic Analysis of Collaboration Through Human Conversational Data Resources: A Review

2026-03-10

AI Summary

This study addresses the challenge of automatically analyzing collaborative processes in task-oriented human-human dialogues by systematically reviewing discourse-level approaches to collaboration analysis. Integrating methods from conversation analysis, collaboration theory, behavioral coding schemes, and computational modeling, the work presents the first multidimensional and structured knowledge framework that comprehensively organizes existing techniques in terms of their task formulations, modeling strategies, and respective strengths and limitations. By offering a clear research roadmap and practical reference for the field, this contribution not only clarifies current methodological constraints but also identifies promising directions for future inquiry, thereby advancing collaboration analysis toward greater systematicity and computational tractability.

Technology Category

• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Data Mining & Knowledge Management: Conversational Systems for Recommendation & Retrieval
• Humans and AI: Human-AI Collaboration / Human-AI Teaming

Application Category

• Web Mining and Content Analysis: Models for Web evolution
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

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.

Problem

• collaboration analysis
• conversational data
• task-oriented dialogue
• automatic analysis
• human conversation

Innovation

• collaboration analysis
• task-oriented conversation
• conversational data
• automatic analysis
• coding schemes