Yan Mao , Xuan Wang , Qili Bai , Wu He , Gaofeng Pan
{"title":"Simulated interventions based on virtual reality to improve emergency evacuation under different spatial perception models","authors":"Yan Mao , Xuan Wang , Qili Bai , Wu He , Gaofeng Pan","doi":"10.1016/j.ergon.2024.103545","DOIUrl":null,"url":null,"abstract":"<div><p>People's emergency evacuation behavior is heavily reliant on spatial knowledge. Different spatial cognitive ways shape spatial knowledge differently. To investigate the effect of different cognitive ways on people's wayfinding performance in an indoor fire situation. The study used a virtual reality simulation of a shopping mall environment, and 128 participants were recruited for the experiment. The experiment divided the participants into six groups and placed them in two scenarios, one with and one without fire. This study also explored two other intervention behaviors to improve the participants' evacuation behaviors. The results showed that participants who used navigation had shorter walking distances and wayfinding times than those who used the You are here (YAH) map. Secondly, participants in the fire scenario walked longer distances and took longer to evacuate than those in the no-fire scenario, and they perceived successful evacuation to be more difficult. Thirdly, the intervention behavior effectively improved the participants' evacuation behavior and increased the efficiency of the evacuation. The leader's intervention was more effective in helping participants evacuate than the range intervention in this experimental setting. The findings may advance the understanding of human evacuation behavior and provide important practical implications for people's safety and emergency preparedness in shopping malls.</p></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"99 ","pages":"Article 103545"},"PeriodicalIF":2.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169814124000015","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
People's emergency evacuation behavior is heavily reliant on spatial knowledge. Different spatial cognitive ways shape spatial knowledge differently. To investigate the effect of different cognitive ways on people's wayfinding performance in an indoor fire situation. The study used a virtual reality simulation of a shopping mall environment, and 128 participants were recruited for the experiment. The experiment divided the participants into six groups and placed them in two scenarios, one with and one without fire. This study also explored two other intervention behaviors to improve the participants' evacuation behaviors. The results showed that participants who used navigation had shorter walking distances and wayfinding times than those who used the You are here (YAH) map. Secondly, participants in the fire scenario walked longer distances and took longer to evacuate than those in the no-fire scenario, and they perceived successful evacuation to be more difficult. Thirdly, the intervention behavior effectively improved the participants' evacuation behavior and increased the efficiency of the evacuation. The leader's intervention was more effective in helping participants evacuate than the range intervention in this experimental setting. The findings may advance the understanding of human evacuation behavior and provide important practical implications for people's safety and emergency preparedness in shopping malls.
期刊介绍:
The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.