首页> 外文会议>International Conference on Affective Computing and Intelligent Interaction(ACII 2007); 20070912-14; Lisbon(PT) >Visual Femininity and Masculinity in Synthetic Characters and Patterns of Affect
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Visual Femininity and Masculinity in Synthetic Characters and Patterns of Affect

机译:合成特征和影响模式中的视觉女性气质和男性气质

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It has been shown that users of a digital system perceive a more 'masculine-sounding' female voice as more persuasive and intelligent than a corresponding but more 'feminine-sounding' female voice. Our study explores whether a parallel pattern of affectively colored evaluations can be elicited when femininity and masculinity are manipulated via visual cues instead of via voice. 80 participants encountered synthetic characters, visually manipulated in terms of femininity and masculinity but with voice, spoken content, linguistic style and role of characters held constant. Evaluations of the two female characters differed in accordance with stereotype predictions - with the exception of competence-related traits; for the two male characters evaluations differed very little. The pattern for male versus female characters was slightly in opposite to stereotype predictions. Possible explanations for these results are proposed. In conclusion we discuss the value of being aware of how different traits in synthetic characters may interact.
机译:已经显示出,数字系统的用户比对应但更“女性化”的女性语音感知到更具“男性味”的女性语音更具说服力和智能。我们的研究探索了当通过视觉提示而不是通过语音操纵女性气质和男性气质时,是否可以引发情感色彩评估的平行模式。 80名参与者遇到了合成角色,在视觉上就女性气质和阳刚之气进行了操纵,但声音,口语内容,语言风格和角色作用保持不变。根据定型预测,对两个女性角色的评价有所不同-除了与胜任能力有关的特征外;对于两个男性角色的评价差异很小。男性和女性角色的模式与定型预测略有相反。建议对这些结果进行解释。总之,我们讨论了了解合成字符中不同性状可能如何相互作用的价值。

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