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首页> 外文会议>International Conference on Affective Computing and Intelligent Interaction >Perception of Intensity Incongruence in Synthesized Multimodal Expressions of Laughter
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Perception of Intensity Incongruence in Synthesized Multimodal Expressions of Laughter

机译：综合多模式表达笑声的强度不一致的感知

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摘要

In this paper, we study perception of intensity incongruence between auditory and visual modalities of synthesized expressions of laughter. In particular, we investigate whether incongruent expressions are perceived as 1) regulated, and 2) unsuccessful in terms of animation synthesis. For this purpose, we conducted a perceptive study with the use of a virtual agent. Congruent and incongruent multimodal expressions of laughter were synthesized from natural audiovisual laughter episodes, using machine learning algorithms. Next, the intensity of facial expressions and body movements were systematically manipulated to check whether the resulting incongruent expressions are perceived differently compared to the corresponding congruent expressions. Results show that 1) intensity incongruence lowers the perception of believability and plausibility, and 2) the incongruent laughter expressions displaying high intensity in the audio modality and low intensity in the body movement and facial expression are perceived as more fake than the corresponding congruent expressions. Such results have implications for both animation synthesis as well as expression regulation research.
机译：在本文中，我们研究了对笑声的综合表达的视觉和视觉模式之间的强度不协调的看法。特别是，我们调查不一致的表达是否被认为是1）规定的，而且在动画综合方面不成功。为此目的，我们使用虚拟代理进行了看法研究。使用机器学习算法，从自然的视听笑声剧中合成了一致性和不一致的笑声的笑声。接下来，系统地操纵面部表情和身体运动的强度，以检查是否与相应的一致表达相比将所得的不一致表达式被不同地感知。结果表明，1）强度不一致降低了对可信度和合理性的感知，并且2）在体型和面部表情中显示音频模型和低强度的不协调笑声表达被认为比相应的一致表达更为假。这种结果对动画综合以及表达调节研究有影响。

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