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Review on using physiology in quality of experience


Arndt, S and Brunnstrdnr, K and Cheng, E and Engelke, U and Moller, S and Antons, J-N, Review on using physiology in quality of experience, Human Vision and Electronic Imaging 2016, 14-18 February 2016, San Francisco, USA, pp. 197-205. ISBN 9781510827943 (2016) [Refereed Conference Paper]


Copyright Statement

Copyright 2016 Society for Imaging Science and Technology

DOI: doi:10.2352/ISSN.2470-1173.2016.16.HVEI-125


In the area of Quality of Experience (QoE), one challenge is to design test methodologies in order to evaluate the perceived quality of multimedia content delivered through technical systems. Traditionally, this evaluation is done using subjective opinion tests. However, sometimes it is difficult for observers to communicate the experienced quality through the given scale. Furthermore, those tests do not give insights into how the user is reacting on an internal physiological level. To overcome these issues, one approach is to use physiological measures, in order to derive a direct non-verbal response of the recipient. In this paper, we review studies that have been performed in the domain of QoE using physiological measures and we look into current activities in standardization bodies. We present challenges this research faces. and give an overview on what researchers should be aware of when they want to start working in this research area.

Item Details

Item Type:Refereed Conference Paper
Keywords:physiological models, physiology, quality control, design tests, multimedia contents, perceived quality, physiological levels, physiological measures, quality of experience (QoE), verbal response
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Stochastic analysis and modelling
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Engelke, U (Dr Ulrich Engelke)
ID Code:120046
Year Published:2016
Deposited By:Information and Communication Technology
Deposited On:2017-08-09
Last Modified:2017-10-05
Downloads:168 View Download Statistics

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