Virtual reality as a tool to investigate and predict occupant behaviour in the real world: the example of wayfinding

Author:

Ewart Ian J.,Johnson Harry

Abstract

The use of virtual reality (VR) is expanding within the AEC sectors, commonly in design and pre-construction decision-making, including as a tool to test and predict the behaviours of building occupants. The implicit assumption is the experience of an immersive Virtual Reality Environment is representative of the Real Environment, and understanding this prior to construction reduces the likelihood and significance of design errors. However, there are very few studies that have validated this basic assumption, and even fewer that have made a direct comparison between Virtual and Real building use. One behaviour that influences design is wayfinding, and the acknowledged effect of familiarity with the layout of a building, which is the subject of this study. We produced an accurate immersive VR model of part of an existing University building and asked participating students to complete a wayfinding task in both the Real and VR buildings. The results show a quantitative improvement in the route and time taken to complete the task, but highlight differences in behaviours in each environment, including subtleties of head movement, a tendency to experiment and seek amusement, and a range of responses to the technology from enjoyment to suspicion. Further research is required to explore in more detail the effect of VR technologies on participants’ behaviour, and the limitations and potentials of VR as a decision-making tool beyond the example of wayfinding that we use. In conclusion, we need to adopt a cautious approach when designing by VR and recognise that the results of experiments such as ours should complement design decisions, rather than act as their sole justification.

Publisher

International Council for Research and Innovation in Building and Construction

Subject

Computer Science Applications,Building and Construction,Civil and Structural Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3