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Usefulness of VRML building models in a direction finding context

Murano, P; Mackey, D

Authors

P Murano

D Mackey



Abstract

This paper describes an experiment which aims to examine the effectiveness and efficiency of a Virtual Reality Modelling Language (VRML) building model compared with equivalent architectural plans, for direction finding purposes. The effectiveness and efficiency issues being primarily investigated were number of tasks completed overall and task completion times. The experiment involved a series of tasks where participants had to find a number of locations/objects in a building unknown to them at the outset of the experiment. Statistically significant results are presented for the benefit of the research community, law enforcement officers and fire fighters where it is clear that in this context, the VRML model led to better task completions than the equivalent architectural plans. Regarding the task completion times,
no statistical significance was found. Given the current climate of security issues and terrorist threats, it is important that law enforcement officers have at their disposal the best information possible regarding the layout of a building, whilst keeping costs down. This also applies to fire fighters when rescuing victims. This experiment has shown that a VRML model leads to better
task completions in direction finding.

Citation

Murano, P., & Mackey, D. (2007). Usefulness of VRML building models in a direction finding context. Interacting with Computers, 19(3), 305-313. https://doi.org/10.1016/j.intcom.2007.01.005

Journal Article Type Article
Publication Date May 1, 2007
Deposit Date Jan 6, 2009
Publicly Available Date Jan 6, 2009
Journal Interacting with Computers
Print ISSN 0953-5438
Publisher Oxford University Press
Peer Reviewed Peer Reviewed
Volume 19
Issue 3
Pages 305-313
DOI https://doi.org/10.1016/j.intcom.2007.01.005
Publisher URL http://dx.doi.org/10.1016/j.intcom.2007.01.005
Related Public URLs http://www.elsevier.com/wps/find/homepage.cws_home
http://www.elsevier.com/wps/find/journaldescription.cws_home/525445/description#description

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