Automatic Analysis of Collaboration Through Human Conversational Data Resources: A Review
This is an incremental review paper that synthesizes existing research for researchers in human-computer interaction and collaboration analysis.
The paper reviews methods for automatically analyzing collaboration using task-oriented human-human conversational data, covering theories, coding schemes, tasks, and modeling approaches to address how such data can be utilized.
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.