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

TL;DR

This review paper discusses how task-oriented conversational data can be used for analyzing human collaboration, covering theories, coding schemes, tasks, and modeling approaches.

Contribution

It provides a comprehensive overview of collaboration analysis methods using conversational data and highlights unexplored research areas.

Findings

Summarizes existing theories and coding schemes for collaboration analysis.

Reviews modeling approaches for verbal collaboration data.

Identifies gaps and future directions in collaboration research.

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.