Abstract
Virtual reality (VR) is a powerful tool to study human behavior and performance under the controlled conditions of a laboratory simulation. Simulation fidelity, particularly in the visual representation of the virtual environment (VE), continues to improve with ongoing advances in computer graphics technology. Because the software tools used to create these VEs are typically the same as those used by the gaming industry, the pervasiveness of high-fidelity video games raises expectations of quality, detail, and lighting in VR applications. However, high-quality models of equipment and environments are often not readily available, and developers may not be familiar with how to implement the latest techniques like physically based rendering (PBR) and photogrammetry. In addition, creating these assets in a timely manner may require several team members with different skillsets working together, and maintaining a consistent aesthetic can be a challenge. Because visual consistency is critical for maintaining immersion and controlling visual stimuli in research as well as in training, researchers from the National Institute for Occupational Safety and Health (NIOSH) created an asset development workflow. This paper describes the workflow, precision modeling techniques, and review process as well as PBR and photogrammetry techniques. It also details lessons learned throughout the process of creating numerous photorealistic VR assets.
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References
Parsons, T.D., Rizzo, A.A.: Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: a meta-analysis. J. Behav. Ther. Exp. Psychiatry 39(3), 250–561 (2008)
Parsons, T.D., Riva, G., Parsons, S., Mantovani, F., Newbutt, N., Lin, L., Venturini, E., Hall, T.: Virtual reality in pediatric psychology. Pediatrics 140(Suppl. 2), S86–S91 (2017)
Seymour, N.E., Gallagher, A.G., Roman, S.A., O’Brien, M.K., Bansal, V.K., Andersen, D.K., Satava, R.M.: Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Ann Surg. 236(4), 458 (2002)
Koch, K., McLean, J., Segev, R., Freed, M.A., Berry II, M.J., Balasubramanian, V., Sterling, P.: How much the eye tells the brain. Curr. Biol. 16(14), 1428–1434 (2006)
Rosenblum, L.D.: See What I’m Saying: The Extraordinary Powers of Our Five Senses. WW Norton & Company, New York (2011)
Ni, T., Bowman, D., Chen, J.: Increased display size and resolution improve task performance in information-rich virtual environments. In: Proceedings of Graphics Interface, pp. 139–146 (2006)
Lee, C., Rincon, G.A., Meyer, G., Höllerer, T., Bowman, D.A.: The effects of visual realism on search tasks in mixed reality simulation. IEEE Trans. Vis. Comput. Graph. 19(4), 547–556 (2013)
Sargent, R.G.: Verification and validation of simulation models. J. Simul. 7(1), 12–24 (2013)
Schofield, D.: Guidelines for using game technology as educational tools. Educ. Learn. 12(2), 224–235 (2018)
Orr, T.J., Filigenzi, M.T., Ruff, T.M.: Hazard recognition computer based simulation. In: Proceedings of the Thirtieth Annual Institute on Mining Health, Safety and Research, pp. 21–28 (1999)
Navoyski, J., Brnich Jr., M.J., Bauerle, T.: BG 4 benching training software for mine rescue teams. Coal Age 120(12), 50–55 (2015)
NIOSH: Underground Coal Mine Map Reading Training (2009). https://www.cdc.gov/niosh/mining/works/coversheet1825.html. Retrieved 27 Oct 2018
Orr, T.J.: NIOSH Mine Emergency Escape Simulation Technology Available for Developers. NIOSH Science Blog (2016). https://blogs.cdc.gov/niosh-science-blog/2016/05/12/mine-escape-simulation/. Retrieved 27 Oct 2018
Greenberg, D.P., Torrance, K.E., Shirley, P., Arvo, J., Lafortune, E., Ferwerda, J.A., Foo, S.C.: A framework for realistic image synthesis. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, pp. 477–494 (1997)
Pharr, M., Jakob, W., Humphreys, G.: Physically Based Rendering: From Theory to Implementation. Morgan Kaufmann Publishers, Burlington (2016)
Friston, S., Fan, C., Doboš, J., Scully, T., Steed, A.: 3DRepo4Unity: dynamic loading of version-controlled 3D assets into the unity game engine. In: Proceedings of the 22nd International Conference on 3D Web Technology, p. 15 (2017)
MarketWatch: Virtual and Augmented Reality Market is Expected to Exceed US$ 117 Billion by 2022 (2018). https://www.marketwatch.com/press-release/virtual-and-augmented-reality-market-is-expected-to-exceed-us-117-billion-by-2022-2018-07-26. Retrieved 27 Oct 2018
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The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention. Mention of company names or products does not constitute endorsement by NIOSH.
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Orr, T.J., Bellanca, J.L., Navoyski, J., Macdonald, B., Helfrich, W., Demich, B. (2020). Development of Visual Elements for Accurate Simulation. In: Cassenti, D. (eds) Advances in Human Factors and Simulation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 958. Springer, Cham. https://doi.org/10.1007/978-3-030-20148-7_26
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DOI: https://doi.org/10.1007/978-3-030-20148-7_26
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