Augmented experiment: Participatory design with multiagent simulation

Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuki Nakanishi

研究成果: Conference article査読

40 被引用数 (Scopus)


To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-guided agents and human-controlled avatars coexist in a shared virtual space and jointly perform simulations, and the extension of the participatory simulation into the 2) augmented experiment, where an experiment is performed in real space by human subjects enhanced by a large scale multiagent simulation. The augmented experiment, proposed in this paper, consist of 1) various sensors to collect the real world activities of human subjects and project them into the virtual space, 2) multiagent simulations to simulate human activities in the virtual space, and 3) communication channels to inform simulation status to human subjects in the real space. To create agent and interaction models incrementally from the participatory design process, we propose the participatory design loop that uses deductive machine learning technologies. Indoor and outdoor augmented experiments have been actually conducted in the city of Kyoto. Both experiments were intended to test new disaster evacuation systems based on mobile phones.

ジャーナルIJCAI International Joint Conference on Artificial Intelligence
出版ステータスPublished - 2007
イベント20th International Joint Conference on Artificial Intelligence, IJCAI 2007 - Hyderabad, India
継続期間: 2007 1月 62007 1月 12

ASJC Scopus subject areas

  • 人工知能


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