Augmented experiment

Participatory design with multiagent simulation

Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuki Nakanishi

Research output: Contribution to journalConference article

36 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1341-1346
Number of pages6
JournalIJCAI International Joint Conference on Artificial Intelligence
Publication statusPublished - 2007 Dec 1
Externally publishedYes
Event20th International Joint Conference on Artificial Intelligence, IJCAI 2007 - Hyderabad, India
Duration: 2007 Jan 62007 Jan 12

Fingerprint

Experiments
Mobile phones
Embedded systems
Disasters
Learning systems
Sensors

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Augmented experiment : Participatory design with multiagent simulation. / Ishida, Toru; Nakajima, Yuu; Murakami, Yohei; Nakanishi, Hideyuki.

In: IJCAI International Joint Conference on Artificial Intelligence, 01.12.2007, p. 1341-1346.

Research output: Contribution to journalConference article

@article{4fa2fde3dd694fd39292d9ed47f20538,
title = "Augmented experiment: Participatory design with multiagent simulation",
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.",
author = "Toru Ishida and Yuu Nakajima and Yohei Murakami and Hideyuki Nakanishi",
year = "2007",
month = "12",
day = "1",
language = "English",
pages = "1341--1346",
journal = "IJCAI International Joint Conference on Artificial Intelligence",
issn = "1045-0823",

}

TY - JOUR

T1 - Augmented experiment

T2 - Participatory design with multiagent simulation

AU - Ishida, Toru

AU - Nakajima, Yuu

AU - Murakami, Yohei

AU - Nakanishi, Hideyuki

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84880893756&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880893756&partnerID=8YFLogxK

M3 - Conference article

SP - 1341

EP - 1346

JO - IJCAI International Joint Conference on Artificial Intelligence

JF - IJCAI International Joint Conference on Artificial Intelligence

SN - 1045-0823

ER -