Analyzing the Effectiveness of an Extensible Virtual Moderator

Abstract

The problems associated with open-ended group discussion are well-documented in sociology research. We seek to alleviate these issues using technology that autonomously serves as a discussion moderator. Building on top of an extensible framework called Diplomat, we develop a "conversational agent", ArbiterBot to promote efficiency, fairness, and professionalism in otherwise unstructured discussions. To evaluate the effectiveness of this agent, we recruited university students to participate in a study involving a series of prompted discussions over the Slack messenger app. The results of this study suggest that the conversational agent is effective at balancing contributions across participants, encouraging a timely consensus and promoting a higher coverage of topics. We believe that the results motivate further investigation into how conversational agents can be used to improve group discussion and cooperation.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 14, 2022
Source ID
10.1145/3492837

Entities

People

  • Aadesh Bagmar
  • Dalia Shalaby
  • James Purtilo
  • Kevin Hogan

Organizations

  • Office of Naval Research
  • University of Maryland

Tags

Readers

  • Academic Conference Management
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation