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

机译:构建人格与文化对多媒体影响与享受的影响

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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.
机译:通过刺激,个人和感知系统的特征之间的复杂关系引发影响。虽然影响被广泛研究,但很少有研究考虑多媒体系统特征和人类因素的结合在一起。因此,本文探讨了个性(五因素模型)和文化特征(Hofstede模型)对多媒体诱发的阳性和负面影响(情绪)的强度的影响。来自跨文化人群的114名参与者评估了一组144个视频序列(来自12个短电影剪辑),产生1232名评级。在此数据上,比较三种多级回归模型:仅考虑系统因素的基线模型;一个包括人格和文化的扩展模型;以及每个参与者建模的乐观模型。分析表明,个人和文化特征占积极影响的5.6%的差异,占负面影响的差异的13.6%。此外,影响享受相关性在剪辑上变化。这表明人格和文化在预测负面影响的强度以及是否享受它,而是需要更复杂的预测因子来模拟相同的功效。

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