Socially-conditioned task reasoning for a virtual tutoring agent

Zian Zhao, Michael Madaio, Florian Pecune, Yoichi Matsuyama, Justine Cassell

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical agent can incorporate both task and social factors into task reasoning. Our work contributes to the autonomous agent community by providing further evidence that incorporating information about dyadic social factors (e.g. rapport) can be beneficial for agents' task reasoning in the case of a tutoring agent.

本文言語English
ホスト出版物のタイトル17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
出版社International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
ページ2265-2267
ページ数3
ISBN(印刷版)9781510868083
出版ステータスPublished - 2018 1 1
外部発表はい
イベント17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden
継続期間: 2018 7 102018 7 15

出版物シリーズ

名前Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
3
ISSN(印刷版)1548-8403
ISSN(電子版)1558-2914

Conference

Conference17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
CountrySweden
CityStockholm
Period18/7/1018/7/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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