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

Yi Yu, Maria Boritchev, Chloé Clavel

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.

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

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.
Paper Structure (27 sections, 2 figures, 3 tables)

This paper contains 27 sections, 2 figures, 3 tables.

Figures (2)

  • Figure 1: Two players playing the Hanoi tower game and conversing with each other to solve the puzzle. Their conversation provides many useful elements for CollA.
  • Figure 2: Human-human conversation corpus building with manual annotations is a costly process. It was particularly difficult to find corpora with direct annotations on collaboration. Our recursive approach is time-consuming, but the boundary is clearly defined, which results in a relatively grounded and complete selection for an overview of CollA corpora.