Development of a Prototype of Face-to-Face Conversational Holographic Agent for Encouraging Co-regulation of Learning

Ayane Hisatomi, Yutaka Ishii, T. Mochizuki, Hironori Egi, Yoshihiko Kubota, H. Kato
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Abstract

This paper describes a conversational holographic agent to help learners assess and manage their participation in order to encourage co-regulation in a face-to-face discussion. The agent works with a voice aggregation system which calculates each participant's utterances, silence ratio, ratio of participation, and turn-taking during the discussion in real-time, and produces prompting utterances and non-verbal actions to encourage learners' participation, summarization, and clarification of what they say. During discussions with each other, learner follow the prompts, and might model how the agent regulates the participation.
促进学习协同调节的面对面会话全息代理原型的开发
本文描述了一个会话全息代理,以帮助学习者评估和管理他们的参与,以鼓励共同监管在面对面的讨论。智能体配合语音聚合系统,实时计算每个参与者在讨论过程中的话语、沉默比例、参与比例、轮次,并产生提示话语和非语言动作,鼓励学习者参与、总结和澄清自己所说的内容。在彼此讨论的过程中,学习者遵循提示,并可能模拟代理如何调节参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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