Image Quality in Augmented Binocular Vision: QoE Approximations with QoS and EEG


  • Patrick Seeling

    Department of Computer Science, College of Science and Engineering, Central Michigan University, USA


Augmented reality (AR) applications become increasingly popular, however, little is known about how multimedia consumption interplays with the Quality of Experience (QoE) in these settings. We experimentally evaluate binocular vision augmentation with optical see-through devices by contrasting QoE, expressed by Mean Opinion Scores (MOS), with a ground truth reference data set. We find that the QoE in AR settings (i) is higher for small media impairments and lower for high impairment levels compared to opaque settings, (ii) exhibits an emerging quantifiable relationship with the QoE in traditional setups, (iii) can be approached with common objective image quality metrics as Quality of Service (QoS) factors, and (iv) exhibits a relationship between the Low Gamma frequency band levels determined with consumer-grade electroencephalograms (EEG) and image quality levels as rated by the participants.


Quality of Experience, Quality of Service, Augmented Reality, image quality, EEG

Published Online


How to Cite

Seeling, P. “Image Quality in Augmented Binocular Vision: QoE Approximations with QoS and EEG”, Periodica Polytechnica Electrical Engineering and Computer Science, 61(4), pp. 327–336, 2017.