虚拟现实中智慧城市数据层对应急疏散行为的影响

IF 4.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
Array Pub Date : 2025-07-09 DOI:10.1016/j.array.2025.100457
Reinout Wiltenburg , William Hurst , Frida Ruiz Mendoza , Caspar Krampe , Bedir Tekinerdogan
{"title":"虚拟现实中智慧城市数据层对应急疏散行为的影响","authors":"Reinout Wiltenburg ,&nbsp;William Hurst ,&nbsp;Frida Ruiz Mendoza ,&nbsp;Caspar Krampe ,&nbsp;Bedir Tekinerdogan","doi":"10.1016/j.array.2025.100457","DOIUrl":null,"url":null,"abstract":"<div><div>Virtual reality is increasingly finding a footing within a range of movement-based studies for different fire emergency settings. Compared to real-world experiments, the core advantage of a virtual reality approach is the safe experiment process and the possibility of creating bespoke and flexible solutions for both testing and training scenarios of smart city buildings. Additionally, virtual reality environments cater for the integration of various layers of information relating to evacuation protocols within digitally recreated public buildings; thus, enabling studies on understanding how the role of extra information can support decision-making when evacuating a building. One way of presenting this information is by employing the Smart City Data Layers which has yet to be investigated, thus, in this study, a Smart City Data Layer-enhanced virtual reality environment is presented. The environment is set up to provide extra information for the participants on how to escape the building provided and, with a control environment providing no additional information for the participants. The behavioural analysis showed that the Smart City Data Layer led to longer time and distance behaviour during the escape in two out of three escape scenarios. The result shows how crucial the design is, and the amount of information presented. For example, findings indicate that too much information leads to potential information overload. In addition, nausea and dizziness were found to be significant variables (p = 0.001, t = −3.611 and p = 0.006, t = −2.965) influencing the time and distance for escape when tested in this environment. Despite the contradictory results, 71 % of the 34 participants found the VR technology very helpful in visualising green outlines for doors during the escape. However, the results suggest that the inclusion of the Smart City Data Layer may lead to overconfidence, resulting in a longer evacuation time.</div></div>","PeriodicalId":8417,"journal":{"name":"Array","volume":"27 ","pages":"Article 100457"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficacy of Smart City Data Layers in virtual reality for emergency evacuation behaviours\",\"authors\":\"Reinout Wiltenburg ,&nbsp;William Hurst ,&nbsp;Frida Ruiz Mendoza ,&nbsp;Caspar Krampe ,&nbsp;Bedir Tekinerdogan\",\"doi\":\"10.1016/j.array.2025.100457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Virtual reality is increasingly finding a footing within a range of movement-based studies for different fire emergency settings. Compared to real-world experiments, the core advantage of a virtual reality approach is the safe experiment process and the possibility of creating bespoke and flexible solutions for both testing and training scenarios of smart city buildings. Additionally, virtual reality environments cater for the integration of various layers of information relating to evacuation protocols within digitally recreated public buildings; thus, enabling studies on understanding how the role of extra information can support decision-making when evacuating a building. One way of presenting this information is by employing the Smart City Data Layers which has yet to be investigated, thus, in this study, a Smart City Data Layer-enhanced virtual reality environment is presented. The environment is set up to provide extra information for the participants on how to escape the building provided and, with a control environment providing no additional information for the participants. The behavioural analysis showed that the Smart City Data Layer led to longer time and distance behaviour during the escape in two out of three escape scenarios. The result shows how crucial the design is, and the amount of information presented. For example, findings indicate that too much information leads to potential information overload. In addition, nausea and dizziness were found to be significant variables (p = 0.001, t = −3.611 and p = 0.006, t = −2.965) influencing the time and distance for escape when tested in this environment. Despite the contradictory results, 71 % of the 34 participants found the VR technology very helpful in visualising green outlines for doors during the escape. However, the results suggest that the inclusion of the Smart City Data Layer may lead to overconfidence, resulting in a longer evacuation time.</div></div>\",\"PeriodicalId\":8417,\"journal\":{\"name\":\"Array\",\"volume\":\"27 \",\"pages\":\"Article 100457\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Array\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590005625000840\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Array","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590005625000840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

摘要

虚拟现实越来越多地在一系列基于运动的研究中找到立足点,用于不同的火灾应急设置。与现实世界的实验相比,虚拟现实方法的核心优势在于安全的实验过程,以及为智慧城市建筑的测试和训练场景创建定制和灵活的解决方案的可能性。此外,虚拟现实环境可以在数字重建的公共建筑中整合与疏散协议相关的各种信息层;因此,使研究能够理解额外信息在疏散建筑物时如何支持决策的作用。呈现这些信息的一种方法是采用尚未研究的智慧城市数据层,因此,在本研究中,提出了一个智能城市数据层增强的虚拟现实环境。环境的设置为参与者提供了关于如何逃离建筑物的额外信息,而控制环境则没有为参与者提供额外信息。行为分析显示,在三分之二的逃生场景中,智能城市数据层导致了更长的逃生时间和距离行为。结果显示了设计的重要性,以及所提供的信息量。例如,调查结果表明,过多的信息会导致潜在的信息过载。此外,在该环境中,恶心和头晕是影响逃跑时间和距离的显著变量(p = 0.001, t =−3.611和p = 0.006, t =−2.965)。尽管结果相互矛盾,但34名参与者中有71%的人认为虚拟现实技术在逃生过程中对门的绿色轮廓非常有帮助。然而,结果表明,智慧城市数据层的加入可能会导致过度自信,导致疏散时间更长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficacy of Smart City Data Layers in virtual reality for emergency evacuation behaviours
Virtual reality is increasingly finding a footing within a range of movement-based studies for different fire emergency settings. Compared to real-world experiments, the core advantage of a virtual reality approach is the safe experiment process and the possibility of creating bespoke and flexible solutions for both testing and training scenarios of smart city buildings. Additionally, virtual reality environments cater for the integration of various layers of information relating to evacuation protocols within digitally recreated public buildings; thus, enabling studies on understanding how the role of extra information can support decision-making when evacuating a building. One way of presenting this information is by employing the Smart City Data Layers which has yet to be investigated, thus, in this study, a Smart City Data Layer-enhanced virtual reality environment is presented. The environment is set up to provide extra information for the participants on how to escape the building provided and, with a control environment providing no additional information for the participants. The behavioural analysis showed that the Smart City Data Layer led to longer time and distance behaviour during the escape in two out of three escape scenarios. The result shows how crucial the design is, and the amount of information presented. For example, findings indicate that too much information leads to potential information overload. In addition, nausea and dizziness were found to be significant variables (p = 0.001, t = −3.611 and p = 0.006, t = −2.965) influencing the time and distance for escape when tested in this environment. Despite the contradictory results, 71 % of the 34 participants found the VR technology very helpful in visualising green outlines for doors during the escape. However, the results suggest that the inclusion of the Smart City Data Layer may lead to overconfidence, resulting in a longer evacuation time.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Array
Array Computer Science-General Computer Science
CiteScore
4.40
自引率
0.00%
发文量
93
审稿时长
45 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信