Visual User Experience Difference: Image compression impacts on the quality of experience in augmented binocular vision

With vision augmentation entering consumer application scenarios with a wide range of adaptation possibilities, an understanding of the interplay of Quality of Service (QoS) factors and resulting device operator Quality of Experience (QoE) becomes increasingly significant. We evaluate the effects of image compression as QoS factor on the QoE by describing the difference between traditional opaque and highly transparent vision augmenting display scenarios, which we denote as Visual User Experience Difference (VUED). We find that based on mean opinion scores, higher ratings are attained in augmented settings only for higher qualities, while lower qualities exhibit a reverse trend. Furthermore, we present a quantified relationship between traditional and augmented vision for a set of common images for the first time. The differential mean opinion score in the vision augmenting setting is additionally compared to major objective image quality metrics and embedded into current theories for mapping QoS to QoE, for which we find and describe suitable fits.