Abu Bakar, Juliana Aida and Che Mat, Ruzinoor and Ab. Aziz, Azizi and Noor Jasri, Norsyazatul Asyifa and Yusoff, Mohd Fitri (2016) Designing agent-based modeling in dynamic crowd simulation for stressful environment. Journal of Telecommunication, Electronic and Computer Engineering, 8 (10). pp. 151-156. ISSN 2180-1843

Preview

PDF Available under License Creative Commons Attribution. Download (558kB) | Preview

Abstract

In recent years, modeling and simulation technologies have been gaining tremendous momentum in investigating crowd dynamics.Various simulation architectures have been developed and virtual environment representations have also been constructed for crowd simulations.To represent the behavior of a crowd, a number of behavior models have been proposed with different types of modeling approaches, such as flow-based models and agent-based models.Crowd models may also concern different aspects of a crowd. In modeling stress response, a method based on well-established theory of Generalized Adaptation Syndrome (GAS) has been developed to simulate the dynamic behavior of the crowd.However, there is still lacking of method to address the way virtual agent interacts with the instant changing behavior of the crowd during stressful events.This study were review current work on modelling stress and stress behavior models and extends it into the area of crowd simulation to simulate the behavior of the stress response of virtual agent during stressful events.It attempts to look into the solution of the problem and utilized a method based on the psychological theory of GAS to develop an algorithm for responsive virtual agent under stressful events by determining the dynamic behavior.

Item Type:	Article
Uncontrolled Keywords:	Algorithm; Responsive; Virtual Agent; Virtual Environment;
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Multimedia Technology & Communication
Depositing User:	Dr. Juliana Aida Abu Bakar
Date Deposited:	04 Jan 2017 03:27
Last Modified:	04 Jan 2017 03:27
URI:	https://repo.uum.edu.my/id/eprint/20546

Actions (login required)

View Item