Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/649
Title: Stars in their eyes: What eye-tracking reveal about multimedia perceptual quality
Authors: Gulliver, SR
Ghinea, G
Keywords: Eye-tracking;Quality of perception;Frame rate;Multimedia video
Issue Date: 2004
Publisher: IEEE
Citation: IEEE Transaction on System, Man and Cybernetics, Part A, 34(4): 472 – 482, Jul 2004
Abstract: Perceptual multimedia quality is of paramount importance to the continued take-up and proliferation of multimedia applications: users will not use and pay for applications if they are perceived to be of low quality. Whilst traditionally distributed multimedia quality has been characterised by Quality of Service (QoS) parameters, these neglect the user perspective of the issue of quality. In order to redress this shortcoming, we characterise the user multimedia perspective using the Quality of Perception (QoP) metric, which encompasses not only a user’s satisfaction with the quality of a multimedia presentation, but also his/her ability to analyse, synthesise and assimilate informational content of multimedia. In recognition of the fact that monitoring eye movements offers insights into visual perception, as well as the associated attention mechanisms and cognitive processes, this paper reports on the results of a study investigating the impact of differing multimedia presentation frame rates on user QoP and eye path data. Our results show that provision of higher frame rates, usually assumed to provide better multimedia presentation quality, do not significantly impact upon the median coordinate value of eye path data. Moreover, higher frame rates do not significantly increase level of participant information assimilation, although they do significantly improve overall user enjoyment and quality perception of the multimedia content being shown.
URI: http://bura.brunel.ac.uk/handle/2438/649
ISSN: 1083-4427
http://dx.doi.org/10.1109/TSMCA.2004.826309
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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