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Towards Assessment of Behavioral Patterns in a Virtual Reality Environment

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11613))

Abstract

Virtual Reality (VR) is a powerful modern medium for immersive data visualization and interaction. However, only a few research efforts targeted the issue of complementing VR applications with features derived from real-time human behavior analysis in virtual environments. This paper addresses an interactive application for analysis of user behavior in a VR environment. In this work, real-time data communication is employed to collect data about the VR user’s location and actions in the virtual environment. To ensure the authenticity of interactions in the virtual environment, the VR application aims at achieving complete immersion. Our findings pertaining to behavioral patterns in immersive environment suggest that there is a potential in applying knowledge of user behavior models to improve the interactivity between the user and the virtual environment. Analysis of VR users’ behavioral models also complements studies typically performed by traditional survey techniques.

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Authors and Affiliations

  1. Department of Computer Systems, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia

    Ahmet Kose, Aleksei Tepljakov, Mihkel Abel & Eduard Petlenkov

Authors
  1. Ahmet Kose
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  2. Aleksei Tepljakov
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  3. Mihkel Abel
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  4. Eduard Petlenkov
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Corresponding author

Correspondence to Ahmet Kose .

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Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Paris-Sud, Orsay, France

    Patrick Bourdot

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Kose, A., Tepljakov, A., Abel, M., Petlenkov, E. (2019). Towards Assessment of Behavioral Patterns in a Virtual Reality Environment. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2019. Lecture Notes in Computer Science(), vol 11613. Springer, Cham. https://doi.org/10.1007/978-3-030-25965-5_18

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  • DOI: https://doi.org/10.1007/978-3-030-25965-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25964-8

  • Online ISBN: 978-3-030-25965-5

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