Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11947
Title: Modelling human factors in perceptual multimedia quality: On the role of personality and culture
Authors: Scott, M
Chandra, S
Lin, W
Ghinea, G
Keywords: Multimedia;Quality;QoE;Personality;Big-5;Culture;Hofstede;Enjoyment;Perception;Video
Issue Date: 2015
Publisher: ACM
Citation: Proceedings of the 23rd ACM international conference on Multimedia (2015), pp.481 - 490, Brisbane, Australia, (26 - 30 October 2015)
Abstract: Perception of multimedia quality is shaped by a rich interplay between system, context, and human factors. While system and context factors are widely researched, few studies in this area consider human factors as sources of systematic variance. This paper presents an analysis on the influence of personality (Five-Factor Model) and cultural traits (Hofstede Model) on the perception of multimedia quality. A set of 144 video sequences (from 12 short movie excerpts) were rated by 114 participants from a cross-cultural population, producing 1232 ratings. On this data, three models are compared: a baseline model that only considers system factors; an extended model that includes personality and culture as human factors; and an optimistic model in which each participant is modeled as a random effect. An analysis shows that personality and cultural traits represent 9.3% of the variance attributable to human factors while human factors overall predict an equal or higher proportion of variance compared to system factors. In addition, the quality-enjoyment correlation varied across the movie excerpts. This suggests that human factors play an important role in perceptual multimedia quality, but further research to explore moderation effects and a broader range of human factors is warranted.
URI: http://dl.acm.org/citation.cfm?id=2806254&CFID=748447645&CFTOKEN=60548301
http://bura.brunel.ac.uk/handle/2438/11947
DOI: http://dx.doi.org/10.1145/2733373.2806254
ISBN: 978-1-4503-3459-4
Appears in Collections:Dept of Computer Science Research Papers

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