Multimodal Dataset for Assessment of Quality of Experience in Immersive Multimedia

Abstract

This paper presents a novel multimodal dataset for the analysis of Quality of Experience(QoE) in emerging immersive multimedia technologies. In particular, the perceived Sense of Presence (SoP) induced by one-minute long video stimuli is explored with respect to content, quality, resolution, and sound reproduction and annotated with subjective scores. Furthermore, a complementary analysis of the acquired physiological signals, such as EEG, ECG, and respiration is carried out, aiming at an alternative evaluation of human experience while consuming immersive multimedia.