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  Using virtual reality in criminological research

Van Gelder, J.-L., Otte, M., & Luciano, E. C. (2014). Using virtual reality in criminological research. Crime Science, 3(1), 1-12.

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
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Van Gelder, Jean-Louis1, Author           
Otte, Marco, Author
Luciano, Eva C., Author
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1External Organizations, ou_persistent22              

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 Abstract: Since the pioneering early studies of the 1990s hinted at its promise as a research method, virtual reality (VR) technology has increasingly been used by social scientists. Given recent developments that have greatly enhanced realism, reduced costs, and increased possibilities for application, VR seems well on its way to become an established research tool in the social sciences. However, as with other ethodological innovations, the field of criminology has
been slow to catch on. To address this gap, this article explores the potential of VR as a tool for crime research. It provides readers with a brief and non-technical description of VR and its main elements and reviews several
applications of VR in social scientific research that are potentially relevant for criminologists. By way of illustration, we identify and discuss in more detail different areas in which we think the field of criminology can particularly benefit from VR and offer suggestions for research. Some of the equipment available on the consumer market is also reviewed.
In conjunction, the different sections should equip readers interested in applying VR in their own research with a fundamental understanding of what it entails and how it can be applied.

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Language(s): eng - English
 Dates: 2014
 Publication Status: Published online
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Title: Crime Science
Source Genre: Journal
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Pages: - Volume / Issue: 3 (1) Sequence Number: - Start / End Page: 1 - 12 Identifier: -