Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11939
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dc.contributor.authorChandra, S-
dc.contributor.authorScott, M-
dc.contributor.authorGhinea, G-
dc.contributor.authorLin, W-
dc.coverage.spatialXi'an, China-
dc.coverage.spatialXi'an, China-
dc.date.accessioned2016-01-28T10:31:27Z-
dc.date.available2015-09-21-
dc.date.available2016-01-28T10:31:27Z-
dc.date.issued2015-
dc.identifier.citation2015 International Conference on Affective Computing and Intelligent Interaction (ACII), Xi'an, China, (21-24 September 2015)en_US
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7344577&tag=1-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/11939-
dc.description.abstractAffect is evoked through an intricate relationship between the characteristics of stimuli, individuals, and systems of perception. While affect is widely researched, few studies consider the combination of multimedia system characteristics and human factors together. As such, this paper explores the influence of personality (Five-Factor Model) and cultural traits (Hofstede Model) on the intensity of multimedia-evoked positive and negative affects (emotions). A set of 144 video sequences (from 12 short movie clips) were evaluated by 114 participants from a cross-cultural population, producing 1232 ratings. On this data, three multilevel regression models are compared: a baseline model that only considers system factors; an extended model that includes personality and culture; and an optimistic model in which each participant is modelled. An analysis shows that personal and cultural traits represent 5.6% of the variance in positive affect and 13.6% of the variance in negative affect. In addition, the affect-enjoyment correlation varied across the clips. This suggests that personality and culture play a key role in predicting the intensity of negative affect and whether or not it is enjoyed, but a more sophisticated set of predictors is needed to model positive affect with the same efficacy.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.sourceProceedings of the 6th AAAC Conference on Affective Computing and Intelligent Interaction-
dc.sourceProceedings of the 6th AAAC Conference on Affective Computing and Intelligent Interaction-
dc.subjectAffecten_US
dc.subjectCultureen_US
dc.subjectMultimediaen_US
dc.subjectPersonalityen_US
dc.subjectQoEen_US
dc.titleModelling the influence of personality and culture on affect and enjoyment in multimediaen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/ACII.2015.7344577-
pubs.publication-statusAccepted-
pubs.publication-statusAccepted-
pubs.start-date2015-09-21-
pubs.start-date2015-09-21-
Appears in Collections:Dept of Computer Science Research Papers

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