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A Framework for Educational and Training Immersive Virtual Reality Experiences

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2020)

Abstract

The fast development and progressive price reduction of Virtual Reality (VR) technologies promotes their implementation in areas beyond gaming. This makes it increasingly applied in other areas such as the development of educational or training applications. However, the development of these applications from scratch can involve a very high time and research investment. To solve this limitation, this paper presents an immersive virtual reality framework that simplifies the development of applications and allows researchers to focus on the design of the educational or training experience, once the framework already solve the main technical issues of the VR environment’s development. This Virtual Reality framework is based in Unreal Engine, therefore compatible with most virtual reality helmets on the market. The framework includes tools for all the required tasks to create virtual reality experiences: movement of the player, interactions with the scenario and objects and the creation of scene objectives among others. To validate its suitability, two cultural heritage environments have been used, in which it has been applied to create two educational experiences.

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Acknowledgments

This work was partially supported by the GruaRV project (Reference Number INVESTUN/18/0002) of the Consejeria de Empleo of the Junta de Castilla y León (Spain) and we gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. The author Carola Gatto wrote Sect. 3.2, entitled “Vaste Church, Salento, Italy”.

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Correspondence to David Checa .

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Checa, D., Gatto, C., Cisternino, D., De Paolis, L.T., Bustillo, A. (2020). A Framework for Educational and Training Immersive Virtual Reality Experiences. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2020. Lecture Notes in Computer Science(), vol 12243. Springer, Cham. https://doi.org/10.1007/978-3-030-58468-9_17

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  • DOI: https://doi.org/10.1007/978-3-030-58468-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58467-2

  • Online ISBN: 978-3-030-58468-9

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