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A Participatory Design Approach to Develop a VR-Based Electrocardiogram Training Simulator

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Virtual, Augmented and Mixed Reality (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14027))

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Abstract

Virtual Reality (VR) allows complete immersion in virtual environments. VR is used in many applications including training healthcare professionals in a time and cost effective manner. Effectively incorporating clinical feedback into simulation design to ensure usability of the software is a challenge. In this paper, a discussion of a pipeline which was developed to allow for efficient participatory design for the creation of a VR-based electrocardiogram training simulator. Further, the results from the usability, content validity, and face validity which was conducted to assess the ECG simulator is presented. The results indicate that the proposed approach can be used to create and assess other VR-based medical training simulators.

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Authors and Affiliations

  1. University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Harris Nisar, Arnav Shah & Avinash Gupta

  2. OSF Heart of Mary Medical Center, 1400 West Park Street, Urbana, IL, 61801, USA

    Abraham Kocheril

Authors
  1. Harris Nisar
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  2. Arnav Shah
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  3. Avinash Gupta
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  4. Abraham Kocheril
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Corresponding author

Correspondence to Harris Nisar .

Editor information

Editors and Affiliations

  1. U.S. Army Research Laboratory, Aberdeen Proving Ground, MD, USA

    Jessie Y. C. Chen

  2. U.S. Army Combat Capabilities Development Command Soldier Center, Orlando, FL, USA

    Gino Fragomeni

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Nisar, H., Shah, A., Gupta, A., Kocheril, A. (2023). A Participatory Design Approach to Develop a VR-Based Electrocardiogram Training Simulator. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2023. Lecture Notes in Computer Science, vol 14027. Springer, Cham. https://doi.org/10.1007/978-3-031-35634-6_34

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  • DOI: https://doi.org/10.1007/978-3-031-35634-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35633-9

  • Online ISBN: 978-3-031-35634-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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