• DocumentCode
    3703320
  • Title

    Modelling the influence of personality and culture on affect and enjoyment in multimedia

  • Author

    Sharath Chandra Guntuku;Weisi Lin;Michael James Scott;Gheorghita Ghinea

  • Author_Institution
    School of Computer Engineering, Nanyang Technological University, Singapore
  • fYear
    2015
  • Firstpage
    236
  • Lastpage
    242
  • 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 tpersonality (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, threehe 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.
  • Keywords
    "Video sequences","Human factors","Cultural differences","Multimedia communication","Motion pictures","Predictive models","Atmospheric measurements"
  • Publisher
    ieee
  • Conference_Titel
    Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
  • Electronic_ISBN
    2156-8111
  • Type

    conf

  • DOI
    10.1109/ACII.2015.7344577
  • Filename
    7344577