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From NPR to VR: tracking ocular behavior in immersive virtual reality

Victor Fajnzylber Reyes

Andrea Wenner

Javier Moyano

orcid logo 16px Mateu Sbert

In this work, we present a research about ocular behavior during immersion in virtual reality. To enhance our comprehension of human behavior in immersive conditions, we will focus on vision and its reactivity to non-photorealistic rendering and cinematic procedures. Using physiological data collected in real time with an eye tracker, we compare attentional and pupillary response in order to describe the visual immersion experienced by the user. This proposal could be useful to identify physical sickness produced by perceptual mismatches and to evaluate the cognitive efficiency of virtual reality experiences in different fields of applications, giving feedback to content producers about user´s ocular behavior.


Barrett, J. (2004). Side effects of virtual environments: A review of the literature. Australia: Defense Science and Technology Organization Canberra.

Bouchard, S., Robillard, G., & Renaud, P. (2007). Revising the factor structure of the Simulator Sickness Questionnaire. Annual Review of CyberTherapy and Telemedicine.

Brown, E., & Cairns, P. (2004). A grounded investigation of game immersion. Extended abstracts of the Conference on Human factors in computing systems.

Conte, C., & De Marchi, M. (2014). Non-Photorealistic Rendering: From a general view to suggestive contours.

Dede, C. (2009). Immersive interfaces for engagement and learning. ScienceMag.

Dennison, M., & D'Zmura, M. (2018). Effects of unexpected visual motion on postural sway and motion sickness. California: Department of Cognitive Sciences of University of Cailifornia.

Dużmańska, Natalia., Strojny Pawel., Strojny Agnieszka (2018) Can Simulator Sickness be Avoided? A review on Temporal Aspects of Simulator Sickness. The National Center for Biotechnology Information.

Fajnzylber, V., González, L., Maldonado, P., Del Villar, R., Yáñez, R., Madariaga, S., Magdics, M., & Sbert, M. (2017, December). Augmented film narrative by use of non-photorealistic rendering. In 2017 International Conference on 3D Immersion (IC3D) (pp. 1-8). IEEE.

Geng, W. (2011). Introduction. In The Algorithms and Principles of Non-Photorealistic Graphics: Artistic Rendering and Cartoon Animation. Springer Science & Business Media.

Gooch, A., & Willemsen, P. (2002). Evaluating space perception in NPR immersive environments. Proceedings of the 2nd International Symposium on Non-Photorealistic Animation and Rendering (pp. 105-110). ACM.

Grau, O. (2003). In Virtual Art: From Illusion to Immersion. Cambridge, MA/London: MIT Press.

Haller, M., Hanl, C., & Diephuis, J. (2004). Non-photorealistic rendering techniques for motion in computer games. Computers in Entertainment (CIE), 2(4), 1-10.

Halper, N., Mellin, M., Herrmann, C. S., Linneweber, V., & Strothotte, T. (2003). Psychology and non-photorealistic rendering: The beginning of a beautiful relationship. Mensch & Computer 2003 (pp. 277-286). Vieweg+ Teubner Verlag.

Honbolygo, F., Veller, L. & Csepe, V. (2012). Ventriloquism aftereffect in a virtual audio-visual environment. IEEE Xplore Digital Library.

Hotelling, H. (1951). A generalized T test and measure of multivariate dispersion. California: Proceedings of the second Berkeley Symposium on Mathematical Statistics and Probability, the Regents of the University of California

Isenberg, T. (2013). Evaluating and validating non-photorealistic and illustrative rendering. London: Image and Video-Based Artistic Stylisation (pp. 311-331).

Kasao, A., & Miyata, K. (2006). Algorithmic Painter: A NPR method to generate various styles of painting. The Visual Computer, 22(1), 14-27.

Keshavarz, B., Riecke, B., Hettinger, L. & Campos, J. (2015). Vection and visually induced motion sickness: how are they related?

Kolasinski, E. (1995). Simulator Sickness in Virtual Environments. Virginia: Army Research Inst for the Behavioral and Social Sciences.

Kyprianidis, J., Collomosse, J., Wang, T., & Isenberg, T. (2012). State of the art: A taxonomy of artistic stylization techniques for images and video. IEEE Transactions on Visualization and Computer Graphics, 19(5), 866-885.

Kyto, M., Kusumoto, K. & Oittinen, P. (2015) The ventriloquist effect in virtual reality. From Mixed and Augmented Reality.

Lin, J. (1991). Divergence measures based on the Shannon entropy. IEEE Transactions on Information theory.

McMahan, A. (2003). Immersion, engagement, and presence: A method for analyzing 3-D video games. New York, NY/London: Routledge. The Video Game Theory Reader (pp. 67-87).

Mestre, D. (2005) Immersion and Presence, Movement & Perception. CNRS & University of the Mediterranean.

Mould, D., Mandryk, R., & Li, H. (2011, August). Evaluation of emotional response to non-photorealistic images. Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering (pp. 7-16). ACM.

Patrick, E., Cosgrove, D., Slavkovic, A., Rode, J. A., Verratti, T., & Chiselko, G. Using a large projection screen as an alternative to head-mounted displays for virtual environments. Proceedings of the SIGCHI conference on Human Factors in Computing Systems (pp. 478-485). ACM, 2000

Santella, A., & DeCarlo, D. (2004, June). Visual interest and NPR: An evaluation and manifesto. Proceedings of the 3rd International Symposium on Non-Photorealistic Animation and Rendering (pp. 71-150). ACM.

Slater, M. A note on presence terminology. Presence connect, 3(3), 1-5, 2003

Takada, H., Miyao, M., & Fateh, S. (2019). Stereopsis and Hygiene. Current Topics in Environmental Health and Preventive Medicine.

Winnemöller, H. (2006). Perceptually-motivated non-photorealistic graphics. Illinois: Northwestern University.

Witmer, B. G., & Singer, M. J. (1998). Measuring presence in virtual environments: A presence questionnaire. Florida: US Army Research Institute for the Behavioral and Social Sciences.

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