Agent-based simulation of affordance-based human behaviors in emergency evacuation

Jaekoo Joo, Namhun Kim, Richard A. Wysk, Ling Rothrock, Young-Jun Son, Yeong Gwang Oh, Seungho Lee

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

Complex cognitive processes corresponding to human control behaviors cannot be easily inferred using (1) a logical rule-based model, (2) a statistical model, or (3) an analytical predictive model. Predicting human behaviors in complex and uncertain environments like emergency evacuation is considered almost impossible (at least NP hard) in systems theory. In this paper, we explore simulating human behaviors using affordance-based finite state automata (FSA) modeling, based on the ecological concept of affordance theory. To this end, we introduce the conceptual and generic framework of affordance-based human behavior simulation developed through our previous work. Following the generic framework, formal simulation models of affordance-based human behaviors are developed, especially for emergency evacuation, to mimic perception-based dynamic human actions interacting with emergent environmental changes, such as fire. A "warehouse fire evacuation" case is used to demonstrate the applicability of the proposed framework. The human action planning algorithms in the simulation model are developed and implemented using the Adjusted Floor Field Indicators, which represent not only the evacuee's prior knowledge of the floor layout but the perceivable information about dynamic environmental changes. The results of our simulation study verify that the proposed framework accurately simulates human fire evacuation behavior. The proposed framework is expected to capture the natural manner in which humans behave in emergency evacuation and enhance the simulation fidelity of analyses and predictions of perceptual human behaviors/responses in the systems by incorporating cognitive intent into human behavior simulations.

Original languageEnglish (US)
Pages (from-to)99-115
Number of pages17
JournalSimulation Modelling Practice and Theory
Volume32
DOIs
StatePublished - 2013

Fingerprint

Affordances
Evacuation
Agent-based Simulation
Human Behavior
Emergency
Fires
Warehouses
Simulation Model
System theory
Finite automata
Finite State Automata
Simulation
Predictive Model
Formal Model
Systems Theory
Prior Knowledge
Planning
Analytical Model
Fidelity
Statistical Model

Keywords

  • Affordance theory
  • Agent-based simulation
  • Emergency evacuation
  • Finite state automata
  • Human behavior

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Modeling and Simulation

Cite this

Agent-based simulation of affordance-based human behaviors in emergency evacuation. / Joo, Jaekoo; Kim, Namhun; Wysk, Richard A.; Rothrock, Ling; Son, Young-Jun; Oh, Yeong Gwang; Lee, Seungho.

In: Simulation Modelling Practice and Theory, Vol. 32, 2013, p. 99-115.

Research output: Contribution to journalArticle

Joo, Jaekoo ; Kim, Namhun ; Wysk, Richard A. ; Rothrock, Ling ; Son, Young-Jun ; Oh, Yeong Gwang ; Lee, Seungho. / Agent-based simulation of affordance-based human behaviors in emergency evacuation. In: Simulation Modelling Practice and Theory. 2013 ; Vol. 32. pp. 99-115.
@article{a4d02486ff3345199c9de6130c898b18,
title = "Agent-based simulation of affordance-based human behaviors in emergency evacuation",
abstract = "Complex cognitive processes corresponding to human control behaviors cannot be easily inferred using (1) a logical rule-based model, (2) a statistical model, or (3) an analytical predictive model. Predicting human behaviors in complex and uncertain environments like emergency evacuation is considered almost impossible (at least NP hard) in systems theory. In this paper, we explore simulating human behaviors using affordance-based finite state automata (FSA) modeling, based on the ecological concept of affordance theory. To this end, we introduce the conceptual and generic framework of affordance-based human behavior simulation developed through our previous work. Following the generic framework, formal simulation models of affordance-based human behaviors are developed, especially for emergency evacuation, to mimic perception-based dynamic human actions interacting with emergent environmental changes, such as fire. A {"}warehouse fire evacuation{"} case is used to demonstrate the applicability of the proposed framework. The human action planning algorithms in the simulation model are developed and implemented using the Adjusted Floor Field Indicators, which represent not only the evacuee's prior knowledge of the floor layout but the perceivable information about dynamic environmental changes. The results of our simulation study verify that the proposed framework accurately simulates human fire evacuation behavior. The proposed framework is expected to capture the natural manner in which humans behave in emergency evacuation and enhance the simulation fidelity of analyses and predictions of perceptual human behaviors/responses in the systems by incorporating cognitive intent into human behavior simulations.",
keywords = "Affordance theory, Agent-based simulation, Emergency evacuation, Finite state automata, Human behavior",
author = "Jaekoo Joo and Namhun Kim and Wysk, {Richard A.} and Ling Rothrock and Young-Jun Son and Oh, {Yeong Gwang} and Seungho Lee",
year = "2013",
doi = "10.1016/j.simpat.2012.12.007",
language = "English (US)",
volume = "32",
pages = "99--115",
journal = "Simulation Modelling Practice and Theory",
issn = "1569-190X",
publisher = "Elsevier",

}

TY - JOUR

T1 - Agent-based simulation of affordance-based human behaviors in emergency evacuation

AU - Joo, Jaekoo

AU - Kim, Namhun

AU - Wysk, Richard A.

AU - Rothrock, Ling

AU - Son, Young-Jun

AU - Oh, Yeong Gwang

AU - Lee, Seungho

PY - 2013

Y1 - 2013

N2 - Complex cognitive processes corresponding to human control behaviors cannot be easily inferred using (1) a logical rule-based model, (2) a statistical model, or (3) an analytical predictive model. Predicting human behaviors in complex and uncertain environments like emergency evacuation is considered almost impossible (at least NP hard) in systems theory. In this paper, we explore simulating human behaviors using affordance-based finite state automata (FSA) modeling, based on the ecological concept of affordance theory. To this end, we introduce the conceptual and generic framework of affordance-based human behavior simulation developed through our previous work. Following the generic framework, formal simulation models of affordance-based human behaviors are developed, especially for emergency evacuation, to mimic perception-based dynamic human actions interacting with emergent environmental changes, such as fire. A "warehouse fire evacuation" case is used to demonstrate the applicability of the proposed framework. The human action planning algorithms in the simulation model are developed and implemented using the Adjusted Floor Field Indicators, which represent not only the evacuee's prior knowledge of the floor layout but the perceivable information about dynamic environmental changes. The results of our simulation study verify that the proposed framework accurately simulates human fire evacuation behavior. The proposed framework is expected to capture the natural manner in which humans behave in emergency evacuation and enhance the simulation fidelity of analyses and predictions of perceptual human behaviors/responses in the systems by incorporating cognitive intent into human behavior simulations.

AB - Complex cognitive processes corresponding to human control behaviors cannot be easily inferred using (1) a logical rule-based model, (2) a statistical model, or (3) an analytical predictive model. Predicting human behaviors in complex and uncertain environments like emergency evacuation is considered almost impossible (at least NP hard) in systems theory. In this paper, we explore simulating human behaviors using affordance-based finite state automata (FSA) modeling, based on the ecological concept of affordance theory. To this end, we introduce the conceptual and generic framework of affordance-based human behavior simulation developed through our previous work. Following the generic framework, formal simulation models of affordance-based human behaviors are developed, especially for emergency evacuation, to mimic perception-based dynamic human actions interacting with emergent environmental changes, such as fire. A "warehouse fire evacuation" case is used to demonstrate the applicability of the proposed framework. The human action planning algorithms in the simulation model are developed and implemented using the Adjusted Floor Field Indicators, which represent not only the evacuee's prior knowledge of the floor layout but the perceivable information about dynamic environmental changes. The results of our simulation study verify that the proposed framework accurately simulates human fire evacuation behavior. The proposed framework is expected to capture the natural manner in which humans behave in emergency evacuation and enhance the simulation fidelity of analyses and predictions of perceptual human behaviors/responses in the systems by incorporating cognitive intent into human behavior simulations.

KW - Affordance theory

KW - Agent-based simulation

KW - Emergency evacuation

KW - Finite state automata

KW - Human behavior

UR - http://www.scopus.com/inward/record.url?scp=84872443573&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872443573&partnerID=8YFLogxK

U2 - 10.1016/j.simpat.2012.12.007

DO - 10.1016/j.simpat.2012.12.007

M3 - Article

AN - SCOPUS:84872443573

VL - 32

SP - 99

EP - 115

JO - Simulation Modelling Practice and Theory

JF - Simulation Modelling Practice and Theory

SN - 1569-190X

ER -