Quantitative 2014 - Special Session on Quantitative QoE Assessment: Augmenting Psychophysical Experiments with Psychophysiological Measurements

Organizers
Ulrich Engelke, CSIRO, Australia
Hantao Liu, University of Hull, UK
Topics of Interest
QoE assessment based on human psychophysiology, including eye gaze, EEG, EKG, EMG, GSR, etc
Computational QoE models based on psychophysiological measurements
Signal processing and machine learning techniques for psychophysiology based QoE assessment
Experimental design for psychophysiological assessment
Correlates of psychophysics and psychophysiology
Motivation and Objectives
Quality of Experience (QoE) assessment of multimedia applications typically utilize responses to questionnaires, either open-ended or based on psychometric scales, such as n-point Likert scales. As valuable as these studies are, they are based on conscious responses by the participants and often do not provide sufficiently deep insight into underlying perceptual and cognitive processes. In addition, psychometric scales typically assume equal perceptual distance between any two items on the scale, which is not necessarily the case. In order to gain a deeper understanding about the perceptual and cognitive processes underlying QoE, psychophysiological measurements can be performed. For instance, eye gaze tracking provides valuable information about overt attention in visual space. Electroencephalography (EEG) measurements inform about cognitive activity, such as cognitive load, situational awareness, and covert attention. Galvanic skin response (GSR) provides insight into arousal and hence emotional states. These psychophysiological responses are not intended to replace well established psychophysical assessment techniques, but to augment them and provide additional sub-conscious information. This special session aims to bring together experts in the field of psychophysiological measurements in the context of QoE assessment.