多机器人调解讨论系统支持小组讨论*

Shogo Ikari, Y. Yoshikawa, H. Ishiguro
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引用次数: 2

摘要

对没有明确答案的话题进行深入讨论对社会很重要,但促进这些话题也很有挑战性。最近,利用机器人促进讨论的技术取得了进展。在这项研究中,我们开发了一个多机器人介导的讨论系统(m-RMDS),通过让多个机器人坚持自己的观点并在一组人类参与者中引导对话来支持讨论。机器人通过征求参与者的建议,让他们参与讨论。我们在讨论没有明确答案的难题时实施了m-RMDS。进行了16组(N=64)的受试者内实验,以评估m-RMDS的贡献。参与者完成了一份关于他们的讨论技巧和自信心的调查问卷。然后,他们参加了两次讨论,一次是由m-RMDS促成的,另一次是没有促成的。他们从多个方面对两种经历进行了评估和比较。对进行讨论缺乏信心的参与者评价有m-RMDS的讨论比没有m-RMDS的讨论更容易推进。此外,他们报告说,在有帮助的讨论中,他们比在没有帮助的讨论中听到了更多其他人的坦率意见。此外,不管他们的信心水平如何,参与者倾向于回答他们想再次使用该系统。我们还审查了系统的必要改进,并建议未来的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple-Robot Mediated Discussion System to support group discussion *
Deep discussions on topics without definite answers are important for society, but they are also challenging to facilitate. Recently, advances in the technology of using robots to facilitate discussions have been made. In this study, we developed a multiple-robot mediated discussion system (m-RMDS) to support discussions by having multiple robots assert their own points and lead a dialogue in a group of human participants. The robots involved the participants in a discussion through asking them for advice. We implemented the m-RMDS in discussions on difficult topics with no clear answers. A within-subject experiment with 16 groups (N=64) was conducted to evaluate the contribution of the m-RMDS. The participants completed a questionnaire about their discussion skills and their self-confidence. Then, they participated in two discussions, one facilitated by the m-RMDS and one that was unfacilitated. They evaluated and compared both experiences across multiple aspects. The participants with low confidence in conducting a discussion evaluated the discussion with m-RMDS as easier to move forward than the discussion without m-RMDS. Furthermore, they reported that they heard more of others' frank opinions during the facilitated discussion than during the unfacilitated one. In addition, regardless of their confidence level, the participants tended to respond that they would like to use the system again. We also review necessary improvements to the system and suggest future applications.
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