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Comparing Virtual Reality SDK Potentials for Engineering Education

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Cross Reality and Data Science in Engineering (REV 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1231))

Abstract

The paper at hand aims to help educators to grasp the potential and difficulties related to virtual reality hardware and software development kits when freshly starting off in the mixed reality realm. Therefore, it will present and compare major VR hardware devices and SDK’s potentials while considering individual features and advantages. As a common ground to judge the capabilities, a virtual test environment is created featuring common interactions needed in engineering education scenarios when interacting with virtual representation of technical equipment. The final verdict contains two main parts, one of which is the actual judgement of current VR SDK capabilities. The second part is a taxonomy with an overview over selection criteria and solution spaces when dealing with hardware choices.

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Authors and Affiliations

  1. Digital Engineering, Ruhr-University, Bochum, Germany

    Pascalis Trentsios, Mario Wolf & Detlef Gerhard

Authors
  1. Pascalis Trentsios
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  2. Mario Wolf
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  3. Detlef Gerhard
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Corresponding author

Correspondence to Mario Wolf .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. College of Engineering, University of Georgia, Athens, GA, USA

    Dominik May

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Trentsios, P., Wolf, M., Gerhard, D. (2021). Comparing Virtual Reality SDK Potentials for Engineering Education. In: Auer, M., May, D. (eds) Cross Reality and Data Science in Engineering. REV 2020. Advances in Intelligent Systems and Computing, vol 1231. Springer, Cham. https://doi.org/10.1007/978-3-030-52575-0_32

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