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.
%0 Conference Paper
%1 Ishida:2007:ijcai
%A Ishida, Toru
%A Nakajima, Yuu
%A Murakami, Yohei
%A Nakanishi, Hideyuki
%B IJCAI'07: Proc. 20th Int'l Jt. Conf.
on Artificial Intelligence
%C Hyderabad, India
%D 2007
%E Veloso, Manuela M.
%K imported thesis
%T Augmented Experiment- Participatory Design with Multiagent Simulation
%U http://www.aaai.org/Papers/IJCAI/2007/IJCAI07-216.pdf
%X 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.
@inproceedings{Ishida:2007:ijcai,
abstract = {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.},
added-at = {2017-03-16T11:50:55.000+0100},
address = {Hyderabad, India},
author = {Ishida, Toru and Nakajima, Yuu and Murakami, Yohei and Nakanishi, Hideyuki},
biburl = {https://www.bibsonomy.org/bibtex/250783ad421583f3caa030207d19c372a/krevelen},
booktitle = {IJCAI'07: Proc. 20th Int'l Jt. Conf.
on Artificial Intelligence},
crossref = {ijcai:2007},
editor = {Veloso, Manuela M.},
interhash = {100d2aab76d395163402ec5c1fd3781c},
intrahash = {50783ad421583f3caa030207d19c372a},
keywords = {imported thesis},
owner = {Rick},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {Augmented Experiment- Participatory Design with Multiagent Simulation},
url = {http://www.aaai.org/Papers/IJCAI/2007/IJCAI07-216.pdf},
year = 2007
}