Ayane Hisatomi, Yutaka Ishii, T. Mochizuki, Hironori Egi, Yoshihiko Kubota, H. Kato
{"title":"Development of a Prototype of Face-to-Face Conversational Holographic Agent for Encouraging Co-regulation of Learning","authors":"Ayane Hisatomi, Yutaka Ishii, T. Mochizuki, Hironori Egi, Yoshihiko Kubota, H. Kato","doi":"10.1145/3349537.3352802","DOIUrl":null,"url":null,"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.","PeriodicalId":188834,"journal":{"name":"Proceedings of the 7th International Conference on Human-Agent Interaction","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Human-Agent Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3349537.3352802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.