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International Conference on Human-Computer Interaction

HCII 2020: Virtual, Augmented and Mixed Reality. Design and Interaction pp 381–396Cite as

Towards the Specification of an Integrated Measurement Model for Evaluating VR Cybersickness in Real Time

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12190))

Abstract

Cybersickness (CS) is an affliction that limits the use of virtual reality (VR) applications. For decades, the measurement of cybersickness has presented one of the most challenges that have aroused the interest of VR research community. Having strong effects on users’ health, cybersickness causes several symptoms relating to different factors. In most cases, the literature studies for VR cybersickness evaluation adopt the questionnaire-based approaches. Some studies have focused on physiological and postural instability-based approaches, while others support the VR content. Despite the attention paid to define measurements for assessing cybersickness, there is still a need for a more complete evaluation model that allows measuring cybersickness in real time. This paper defines a conceptual model that integrates subjective and objective evaluation of CS in real time. The proposed model considers three CS factors (i.e. individual, software and hardware). The aim is to consider the heterogeneous findings (subjective and objective measures) related to the selected CS factors that define integrated indicators. The theoretical part of the model was initially validated by researchers who have comprehensive knowledge and skills in VR domain. As a research perspective, we intend to evaluate the proposed model through a practical case study.

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Notes

  1. 1.

    Motion sickness can be defined as any sickness endured by observation of visual motion [5].

  2. 2.

    Simulator sickness describes the sickness produced by vehicle simulators [5].

  3. 3.

    It represents a medical approach that presents a form of alternative therapy [9].

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Acknowledgments

The authors would like to acknowledge the researchers who evaluate the model presented in this study. LINEACT authors thanks the financial support granted by the Europe (FEDER), region Grand Est and region Normandie through the NumeriLab project and the Industrial Chair CISCO – VINCI Energies. Taisa Gonçalves thanks the financial support granted by CAPES – Science without Borders Program (DOC-PLENO 99999.013381/2013-00).

Author information

Authors and Affiliations

  1. LINEACT, CESI Engineering School, Reims, France

    Ahlem Assila, David Baudry & Vincent Havard

  2. Federal University of Rio de Janeiro – PESC/COPPE, Rio de Janeiro, Brazil

    Taisa Guidini Gonçalves

  3. National Engineering School of Saint-Etienne (ENISE), LTDS, CNRS UMR 5513, Saint-Etienne, France

    Amira Dhouib

Authors
  1. Ahlem Assila
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  2. Taisa Guidini Gonçalves
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  3. Amira Dhouib
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  4. David Baudry
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  5. Vincent Havard
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Corresponding authors

Correspondence to Ahlem Assila , Taisa Guidini Gonçalves , Amira Dhouib , David Baudry or Vincent Havard .

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, Orlando, FL, USA

    Gino Fragomeni

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Assila, A., Gonçalves, T.G., Dhouib, A., Baudry, D., Havard, V. (2020). Towards the Specification of an Integrated Measurement Model for Evaluating VR Cybersickness in Real Time. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. Design and Interaction. HCII 2020. Lecture Notes in Computer Science(), vol 12190. Springer, Cham. https://doi.org/10.1007/978-3-030-49695-1_25

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  • DOI: https://doi.org/10.1007/978-3-030-49695-1_25

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  • Online ISBN: 978-3-030-49695-1

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