Designing emergency guidance in a social interaction platform

Hideyuki Nakanishi, Toru Ishida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Future computing systems interact with a large number of users moving around buildings and streets. In this paper, we propose an example of such systems and how to evaluate ubicomp systems equipped with a large-scale physical environment that includes a large number of people inside. In our emergency guidance system, off-site guiding staff monitors a crowded large-scale public space to understand its situation, and instruct on-site guiding staff how to guide crowds effectively. Our system tracks and synthesizes the public space to enable the off-site staff to grasp it, and support communication between the on-site and the off-site staffs. Because it is not affordable to use the physical public space and a lot of human subjects to evaluate the system, we used our social interaction platform to simulate our guidance system. We could successfully construct simulations, in which the crowds are replaced with social agents in the virtual public space.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages283-294
Number of pages12
Publication statusPublished - 2005 Dec 1
Externally publishedYes
Event1st International Workshop on Massively Multi-Agent Systems, MMAS 2004 - Kyoto, Japan
Duration: 2004 Dec 102004 Dec 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3446 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Massively Multi-Agent Systems, MMAS 2004
CountryJapan
CityKyoto
Period04/12/1004/12/11

Fingerprint

Social Interaction
Emergency
Guidance
Communication
Evaluate
Monitor
Computing
Simulation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Nakanishi, H., & Ishida, T. (2005). Designing emergency guidance in a social interaction platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 283-294). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3446 LNAI).

Designing emergency guidance in a social interaction platform. / Nakanishi, Hideyuki; Ishida, Toru.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 283-294 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3446 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakanishi, H & Ishida, T 2005, Designing emergency guidance in a social interaction platform. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3446 LNAI, pp. 283-294, 1st International Workshop on Massively Multi-Agent Systems, MMAS 2004, Kyoto, Japan, 04/12/10.
Nakanishi H, Ishida T. Designing emergency guidance in a social interaction platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 283-294. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Nakanishi, Hideyuki ; Ishida, Toru. / Designing emergency guidance in a social interaction platform. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 283-294 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{35aa55a08ca3494aac149e3217153d36,
title = "Designing emergency guidance in a social interaction platform",
abstract = "Future computing systems interact with a large number of users moving around buildings and streets. In this paper, we propose an example of such systems and how to evaluate ubicomp systems equipped with a large-scale physical environment that includes a large number of people inside. In our emergency guidance system, off-site guiding staff monitors a crowded large-scale public space to understand its situation, and instruct on-site guiding staff how to guide crowds effectively. Our system tracks and synthesizes the public space to enable the off-site staff to grasp it, and support communication between the on-site and the off-site staffs. Because it is not affordable to use the physical public space and a lot of human subjects to evaluate the system, we used our social interaction platform to simulate our guidance system. We could successfully construct simulations, in which the crowds are replaced with social agents in the virtual public space.",
author = "Hideyuki Nakanishi and Toru Ishida",
year = "2005",
month = "12",
day = "1",
language = "English",
isbn = "3540269746",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "283--294",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Designing emergency guidance in a social interaction platform

AU - Nakanishi, Hideyuki

AU - Ishida, Toru

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Future computing systems interact with a large number of users moving around buildings and streets. In this paper, we propose an example of such systems and how to evaluate ubicomp systems equipped with a large-scale physical environment that includes a large number of people inside. In our emergency guidance system, off-site guiding staff monitors a crowded large-scale public space to understand its situation, and instruct on-site guiding staff how to guide crowds effectively. Our system tracks and synthesizes the public space to enable the off-site staff to grasp it, and support communication between the on-site and the off-site staffs. Because it is not affordable to use the physical public space and a lot of human subjects to evaluate the system, we used our social interaction platform to simulate our guidance system. We could successfully construct simulations, in which the crowds are replaced with social agents in the virtual public space.

AB - Future computing systems interact with a large number of users moving around buildings and streets. In this paper, we propose an example of such systems and how to evaluate ubicomp systems equipped with a large-scale physical environment that includes a large number of people inside. In our emergency guidance system, off-site guiding staff monitors a crowded large-scale public space to understand its situation, and instruct on-site guiding staff how to guide crowds effectively. Our system tracks and synthesizes the public space to enable the off-site staff to grasp it, and support communication between the on-site and the off-site staffs. Because it is not affordable to use the physical public space and a lot of human subjects to evaluate the system, we used our social interaction platform to simulate our guidance system. We could successfully construct simulations, in which the crowds are replaced with social agents in the virtual public space.

UR - http://www.scopus.com/inward/record.url?scp=26844574806&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=26844574806&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:26844574806

SN - 3540269746

SN - 9783540269748

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 283

EP - 294

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -