Panrong Yin, Liyue Zhao, Lixing Huang, Jianhua Tao (auth.),'s Affective Computing and Intelligent Interaction: Second PDF

By Panrong Yin, Liyue Zhao, Lixing Huang, Jianhua Tao (auth.), Ana C. R. Paiva, Rui Prada, Rosalind W. Picard (eds.)

This ebook constitutes the refereed complaints of the second one overseas convention on Affective Computing and clever interplay, ACII 2007, held in Lisbon, Portugal, in September 2007.

The fifty seven revised complete papers and four revised brief papers awarded including the prolonged abstracts of 33 poster papers have been conscientiously reviewed and chosen from 151 submissions. The papers are prepared in topical sections on affective facial features and popularity, affective physique expression and popularity, affective speech processing, affective textual content and discussion processing, recognising have an effect on utilizing physiological measures, computational types of emotion and theoretical foundations, affective databases, annotations, instruments and languages, affective sound and tune processing, affective interactions: platforms and purposes, in addition to comparing affective systems.

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Additional info for Affective Computing and Intelligent Interaction: Second International Conference, ACII 2007 Lisbon, Portugal, September 12-14, 2007 Proceedings

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Zhang et al. result is consistent with the reliability and validity of Chinese version of abbreviated PAD emotion scales reported in [4]. Confusion between Sad and Scared as well as Angry and Hostile is found in expression labeling experiment, it is because that the input PAD value for each of the two confused words are very close as shown in Table 8, which originates from the confusion in human understanding between these emotion words and thus leads to the similarity between synthetic expressions.

The occurrence of different patterns of facial expressions Pattern negative masked negative inhibited negative expressed fake negative neutral expression fake positive positive masked positive inhibited positive expressed All Strategy bald positive negative off-record 0 0 1 4 0 0 1 2 0 2 0 2 0 0 0 0 4 8 34 7 0 5 16 6 0 0 0 0 0 0 2 0 2 3 1 2 6 18 55 23 All 5 3 4 0 53 27 0 2 8 102 pattern called “positive masked” describes any facial expression that occurs in a situation in which any positive emotion is masked by another one.

The label that identifies the neutral state is also considered as a valid input. The valence Val(Ei ) of an emotion Ei can be found using any dimensional model of emotions. We use the data proposed in [1]. In our model any emotional state can be either positive or negative (the neutral category concerns only the neutral state). Brown and Levinson introduced the concept of the level of threat of a linguistic act (FTA). This value is used to choose between different politeness strategies (see section 3).

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