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

Sharath Chandra Guntuku, Weisi Lin, M. A. Scott, G. Ghinea
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引用次数: 26

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.
模拟个性和文化对多媒体情感和享受的影响
情感是通过刺激特征、个体和感知系统之间的复杂关系而产生的。虽然影响的研究非常广泛,但很少有研究将多媒体系统的特性和人为因素结合起来考虑。因此,本文探讨了人格(五因素模型)和文化特征(Hofstede模型)对多媒体诱发的积极和消极影响(情绪)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个短片片段),产生了1232个评分。在此数据上,人格(五因素模型)和文化特质(Hofstede模型)对多媒体诱发的积极和消极影响(情绪)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个短片片段),产生了1232个评分。在此基础上,比较了三种多水平回归模型:仅考虑系统因素的基线模型;包含个性和文化的扩展模型;还有一个乐观的模型,每个参与者都是模型。一项分析表明,个人和文化特质分别占积极影响方差的5.6%和消极影响方差的13.6%。此外,情感与享受的相关性在不同的片段中也有所不同。这表明性格和文化在预测消极情绪的强度和是否被享受方面起着关键作用,但需要一套更复杂的预测因素来模拟同样有效的积极情绪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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