Moderator Chatbot for Deliberative Discussion

Soomin Kim, Jinsu Eun, Joseph Seering, Joonhwan Lee

doi:10.1145/3449161

書誌事項

タイトル別名

Effects of Discussion Structure and Discussant Facilitation

公開日: 2021-04-13

権利情報

https://www.acm.org/publications/policies/copyright_policy#Background

DOI

10.1145/3449161

公開者: Association for Computing Machinery (ACM)

説明

<jats:p>Online chat functions as a discussion channel for diverse social issues. However, deliberative discussion and consensus-reaching can be difficult in online chats in part because of the lack of structure. To explore the feasibility of a conversational agent that enables deliberative discussion, we designed and developed DebateBot, a chatbot that structures discussion and encourages reticent participants to contribute. We conducted a 2 (discussion structure: unstructured vs. structured) × 2 (discussant facilitation: unfacilitated vs. facilitated) between-subjects experiment (N = 64, 12 groups). Our findings are as follows: (1) Structured discussion positively affects discussion quality by generating diverse opinions within a group and resulting in a high level of perceived deliberative quality. (2) Facilitation drives a high level of opinion alignment between group consensus and independent individual opinions, resulting in authentic consensus reaching. Facilitation also drives more even contribution and a higher level of task cohesion and communication fairness. Our results suggest that a chatbot agent could partially substitute for a human moderator in deliberative discussions.</jats:p>

収録刊行物

Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-26, 2021-04-13

Association for Computing Machinery (ACM)

詳細情報詳細情報について

書き出し

問題の指摘