Modeling human behavior for virtual training systems

Yohei Murakami*, Yuki Sugimoto, Toru Ishida

*この研究の対応する著者

研究成果: Paper査読

36 被引用数 (Scopus)

抄録

Conslrucling highly realistic agents is essential if agents are to he employed in virtual training systems. In training for collaboration based on face-to-face interaction, the generation of emotional expressions is one key. In training for guidance based on one-to-many interaction such as direction giving for evacuations, emotional expressions must be supplemented by diverse agent behaviors to make the training realistic. To reproduce diverse behavior, we characterize agents by using a various combinations of operation rules instantiated by the user operating the agent. To accomplish this goal, we introduce a user modeling method based on participatory simulations. These simulations enable us to acquire information observed by each user in the simulation and the operating history. Using these data and the domain knowledge including known operation rules, we can generate an explanation for each behavior. Moreover, the application of hypothetical reasoning, which offers consistent selection of hypotheses, to the generation of explanations allows us to use otherwise incompatible operation rules as domain knowledge. In order to validate the proposed modeling method, we apply it to the acquisition of an evacuee's model in a fire-drill experiment. We successfully acquire a subject's model corresponding to the results of an interview with the subject.

本文言語English
ページ127-132
ページ数6
出版ステータスPublished - 2005 12 1
外部発表はい
イベント20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05 - Pittsburgh, PA, United States
継続期間: 2005 7 92005 7 13

Conference

Conference20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05
国/地域United States
CityPittsburgh, PA
Period05/7/905/7/13

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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