Moderator Chatbot for Deliberative Discussion

Moderator Chatbot for Deliberative Discussion
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用于协商讨论的主持人聊天机器人

DOI:
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发表时间:
2021
期刊:
Proc. ACM Hum. Comput. Interact.
影响因子:
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通讯作者:
Joonhwan Lee
Joonhwan Lee
中科院分区:
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文献类型:
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作者:
Soomin Kim;Jinsu Eun;Joseph Seering;Joonhwan Lee

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在线聊天是讨论各种社会问题的渠道。然而,在网上聊天中,审议讨论和达成共识可能很困难,部分原因是缺乏结构。为了探索能够进行审议讨论的会话代理的可行性,我们设计并开发了DebateBot,这是一个聊天机器人,可以构建讨论并鼓励沉默的参与者做出贡献。我们进行了一个2(讨论结构:非结构化与结构化)× 2(讨论者促进:非促进与促进)的被试间实验(N = 64,12组)。我们的调查结果如下:(1)结构化讨论通过在小组内产生不同的意见并导致高水平的感知审议质量,从而对讨论质量产生积极影响。(2)促进驱动群体共识和独立个人意见之间的高水平意见一致性,从而达成真正的共识。促进也推动更均匀的贡献和更高水平的任务凝聚力和沟通公平性。我们的研究结果表明,聊天机器人代理可以部分取代人类主持人在审议讨论。
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.