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Title: Modelling the influence of personality and culture on affect and enjoyment in multimedia
Authors: Chandra, S
Scott, M
Ghinea, G
Lin, W
Keywords: Affect;Culture;Multimedia;Personality;QoE
Issue Date: 2015
Publisher: IEEE
Citation: 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), Xi'an, China, (21-24 September 2015)
Abstract: Affect 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.
Appears in Collections:Dept of Computer Science Research Papers

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