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

arXiv cs.AI / 3/23/2026

💬 OpinionIdeas & Deep Analysis

Key Points

  • It surveys how task-oriented human-human conversational data can be used for automatic analysis of collaborative processes, with emphasis on verbal interaction.
  • It reviews theories, coding schemes, tasks, and modeling approaches employed in collaboration analysis.
  • It discusses methodological considerations for utilizing conversational data and outlines practical resources and open research directions.
  • It aims to serve as a practical resource for researchers and practitioners seeking to analyze collaboration through conversational data.

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.