Abstract
We introduce a novel framework for creating and evaluating multiple virtual reality environments (VEs) that are naturalistic and similar in navigational complexity. We developed this framework in support of a spatial-learning study using a within-subjects design. We generated three interior environments and used graph-theoretic methods to ensure similar complexity. We then developed a scavenger-hunt task that ensured participants would visit all parts of the environments. Here, we describe VE development and a user study evaluating the relative task difficulty in the environments. Our results showed that our techniques were generally successful: the average time to complete the task was similar across environments. Some participants took longer to complete the task in one of the environments, indicating room for refinement of our framework. The methods described here should be of use for future studies using VEs, especially in within-subjects design.
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References
Witmer, B.G., Bailey, J.H., Knerr, B.W., Parsons, K.C.: Virtual spaces and real world places: transfer of route knowledge. Int. J. Hum.-Comput. Stud. 45, 413–428 (1996)
Cummings, J.J., Bailenson, J.N.: How immersive is enough? a meta-analysis of the effect of immersive technology on user presence. Media Psychol. 19, 272–309 (2016)
Grajewski, D., Górski, F., Zawadzki, P., Hamrol, A.: Application of virtual reality techniques in design of ergonomic manufacturing workplaces. Proc. Comput. Sci. 25, 289–301 (2013)
Zimmons, P., Panter, A.: The influence of rendering quality on presence and task performance in a virtual environment. In: Proceedings of IEEE Virtual Reality 2003, pp. 293–294 (2003)
Steadman, P.: Graph theoretic representation of architectural arrangement. Archit. Res. Teach. 2, 161–172 (1973)
Roth, J., Hashimshony, R.: Algorithms in graph theory and their use for solving problems in architectural design. Comput.-Aided Des. 20, 373–381 (1988)
Levy, R.M., O’Brien, M.G., Aorich, A.: Prediciting the behavior of game players - space syntax and urban planning theory as a predictive tool in game design. In: 2009 15th International Conference on Virtual Systems and Multimedia, pp. 203–208 (2009)
Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. NeuroImage 52, 1059–1069 (2010)
Sinatra, A.M., et al.: Development of cognitive transfer tasks for virtual environments and applications for adaptive instructional systems. In: Lecture Notes in Computer Science. Springer, Orlando (2019, forthcoming)
Carpenter, B., et al.: Stan : a probabilistic programming language. J. Stat. Softw. 76, 1–32 (2017)
Stan Development Team: RStan: the R interface to Stan (2018)
Vehtari, A., Gelman, A., Gabry, J.: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat. Comput. 27, 1413–1432 (2017)
Benedikt, M.L.: To take hold of space: isovists and isovist fields. Environ. Plan. B Plan. Des. 6, 47–65 (1979)
Acknowledgements
This work was funded by the US Army Research Laboratory’s Human sciences campaign. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. The authors thank Debbie Patton, Mark Ericson, and the entire Training Effectiveness/Immersion group for their comments and suggestions on this work. Bianca Dalangin helped conduct the user study.
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Files, B.T., Oiknine, A.H., Thomas, J., Khooshabeh, P., Sinatra, A.M., Pollard, K.A. (2020). Same Task, Different Place: Developing Novel Simulation Environments with Equivalent Task Difficulties. 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_11
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DOI: https://doi.org/10.1007/978-3-030-20148-7_11
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