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

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 lawsuits of the second one foreign 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 offered including the prolonged abstracts of 33 poster papers have been rigorously 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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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 lawsuits of the second one foreign 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 offered including the prolonged abstracts of 33 poster papers have been rigorously 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.

Show description

Read or Download Affective Computing and Intelligent Interaction: Second International Conference, ACII 2007 Lisbon, Portugal, September 12-14, 2007 Proceedings PDF

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

Example text

Table 7. 69 In the K-fold cross-validation training process (k=10), there are 10 iterations corresponding to 10 validating subset. For each iteration, we calculate the correlation coefficients between real and estimate data on current validating subset as criteria to evaluate the fitting performance of the trained function. The minimum, maximum and average value of correlation coefficient is summarized in Table 7. The trained function with the average fitting performance among all the 10 iterations is chosen as the final result and used to evaluate the test set.

Endowing spoken language dialogue systems with emotional intelligence. , Heisterkamp, P. ) Affective Dialogue Systems, pp. 178–187. Springer, Heidelberg (2004) 3. : A framework for interpersonal attitude and non-verbal communication in improvisational visual media production, First European Conference on Visual Media Production (CVMP), pp. 203–210 (2004) 4. : An expressive ECA showing complex emotions. In: Proceedings of the AISB Annual Convention, Newcastle, UK, pp. 208–216 (2007) 5. : Politeness: some universals on language usage.

So two variables: dominance (corresponding to SP) and affiliation (corresponding to SD) are sufficient to describe interpersonal relations. Moreover Brown and Levinson include SP and SD in their theory of politeness (see section 3). Power (SP) and social distance (SD) are two factors that influence human expressions according to various studies about facial behaviour [6,13,20]. Facial behaviour management is also conditioned by emotional factors. In particular, facial behaviour depends on the valence (Val) of emotion [6,14].

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