A Virtual Reality and Questionnaire Approach to Gathering Real World Data for Agent Based Crowd Simulation Models

Sinclair, Jacob, Suwanwiwat, Hemmaphan, and Lee, Ickjai (2022) A Virtual Reality and Questionnaire Approach to Gathering Real World Data for Agent Based Crowd Simulation Models. Presence: Virtual and Augmented Reality, 28. pp. 293-312.

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Abstract

Gathering real world data is a crucial process in developing realistic agent based crowd simulation models. In order to gather real world data, three types of data need to be considered: physical, mental and visual. Existing data gathering methods do not collect all three data types, but they provide a limited amount of data for agent based simulations. This paper proposes using a combination of Virtual Reality and Questionnaires as a means to gathering real world data. This hybrid method collects all three data types, and is validated by comparing it to data collected from the real world. Two data gathering experiments (real world and our proposed method) were conducted to collect all three types of data for comparison. Experimental results show that the proposed method can collect similar data to the real world experiment, in particular for mental and visual data. Chi-Square Goodness of Fit Test proves that there is no significant difference between the real world and our proposed method for mental and visual data, whilst the test shows there is significant difference in physical data, in particular completed time. We propose an adjustment factor for the completed time data that mitigates the gap between virtual space and real space, and allows the results collected to be input into agent based simulations as real world data. Overall the proposed method is cost effective, time efficient, reproducible, ecologically valid, and able to collect three types of data for agent based crowd simulation models.

Item ID: 75102
Item Type: Article (Research - C1)
ISSN: 1531-3263
Copyright Information: © 2022 by the Massachusetts Institute of Technology
Date Deposited: 04 Oct 2022 03:44
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460202 Autonomous agents and multiagent systems @ 50%
46 INFORMATION AND COMPUTING SCIENCES > 4607 Graphics, augmented reality and games > 460708 Virtual and mixed reality @ 50%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220407 Human-computer interaction @ 50%
22 INFORMATION AND COMMUNICATION SERVICES > 2299 Other information and communication services > 229999 Other information and communication services not elsewhere classified @ 50%
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