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Future Internet 2018, 10(7), 63; https://doi.org/10.3390/fi10070063

Towards Prediction of Immersive Virtual Reality Image Quality of Experience and Quality of Service

Department of Computer Science, Central Michigan University, Mount Pleasant, MI 48859, USA
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Received: 21 May 2018 / Revised: 28 June 2018 / Accepted: 4 July 2018 / Published: 7 July 2018
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Abstract

In this article, we evaluate the Quality of Service (QoS) through media impairment levels and device operators’ subjective Quality of Experience (QoE). The human-centered QoE determination commonly requires human subject experimentation, which we combine with Electroencephalography (EEG) measurements to move towards automatized and generalized possibilities of determining the QoE. We evaluate the prediction performance for spherical/immersive images displayed with a mobile device VR viewer (Spherical Virtual Reality (SVR)) with the help of only four-position EEG data gathered at the forehead, which correlates well with practical applicability. We find that QoS levels can be predicted more reliably (directly with R2=0.68 or based on profiles with R2=0.9) than the QoE, which exhibits significant error levels. Additional comparison with previous approaches for the Spherical Augmented Reality (SAR) QoE indicates better predictability in AR scenarios over VR. View Full-Text
Keywords: virtual reality; quality of experience; quality of service; electroencephalography; image quality virtual reality; quality of experience; quality of service; electroencephalography; image quality
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Karembai, A.K.; Thompson, J.; Seeling, P. Towards Prediction of Immersive Virtual Reality Image Quality of Experience and Quality of Service. Future Internet 2018, 10, 63.

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