Abstract
Developing virtual reality (VR) simulations for replication of real-world studies in spatial cognition research is a tedious process, as numerous processes must be considered to achieve correspondence. In this chapter, we describe the development of a virtual model for a replication of a real-world study in the Seattle Central Library. The aim is to pragmatically report challenges and solutions in translating real-world conditions of complex and large-scale buildings into virtual reality simulations. For this aim, the chapter focuses on three steps for development: modelling the virtual environment, optimizing the performance, and designing the human-environment interaction.
Author notes: The authors thank Dan Baird for supporting the development of signage for the VR model. The first author contributed to this chapter during a postdoc fellowship of the German Academic Exchange Service (DAAD), at the Future Cities Laboratory, Singapore-ETH Centre, which was established collaboratively between ETH Zurich and Singapore’s National Research Foundation (FI 370074016) under its Campus for Research Excellence and Technological Enterprise programme.
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Notes
- 1.
Readers who may wish to build upon the research discussed in this chapter may have access to alternative software, frameworks, data formats, etc. For instance, Maya and Blender are 3D modelling packages designed for animation and visual effects, whereas the native polygon modelling approach, texture mapping features, display functions, and the capability to support numerous file types and large-scale, detailed, and complex architectural models is well-established in 3Ds Max. However, the processes and guidelines discussed in this chapter would be relevant to most 3D modelling packages.
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Kuliga, S., Charlton, J., Rohaidi, H.F., Isaac, L.Q.Q., Hoelscher, C., Joos, M. (2020). Developing a Replication of a Wayfinding Study. From a Large-Scale Real Building to a Virtual Reality Simulation. In: Å Ä·ilters, J., Newcombe, N., Uttal, D. (eds) Spatial Cognition XII. Spatial Cognition 2020. Lecture Notes in Computer Science(), vol 12162. Springer, Cham. https://doi.org/10.1007/978-3-030-57983-8_11
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