Affective Computing and Intelligent Interaction: Second by Ana Paiva, Rui Prada, Rosalind W. Picard

By Ana Paiva, Rui Prada, Rosalind W. Picard

This ebook constitutes the refereed court cases 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 offered including the prolonged abstracts of 33 poster papers have been rigorously reviewed and chosen from 151 submissions. The papers are equipped in topical sections on affective facial features and popularity, affective physique expression and popularity, affective speech processing, affective textual content and discussion processing, recognising impact utilizing physiological measures, computational types of emotion and theoretical foundations, affective databases, annotations, instruments and languages, affective sound and track processing, affective interactions: structures and functions, in addition to comparing affective systems.

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

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Table 5. 12-item PAD questionnaire for expression annotation and evaluation Emotion Angry WideControlled Friendly Calm Dominant Cruel Interested Guided Excited Relaxed 愤怒的) 清醒的) 被控的) 友好的) 平静的) 支配的) 残忍的) 感兴趣的) 被引导的) 兴奋的) 放松的) 有影响力) ( ( ( ( ( ( ( ( ( ( ( Influential ( -4 -3 -2 -1 0 1 2 3 4 Emotion Activated Sleepy Controlling Scornful Excited Submissive Joyful Relaxed Autonomous Enraged Hopeful 有活力的) 困倦的) 主控的) 轻蔑的) 激动的) 顺从的) 高兴的) 放松的) 自主的) 激怒的) 充满希望 被影响的) ( ( ( ( ( ( ( ( ( ( ( Influenced ( For each synthetic expression image in the pseudo expression database, we annotate the P, A and D value using the 12-item questionnaire.

Thus, in this condition it was sufficient that at least two answers from three satisfy ANS1 – ANS3. As a result the majority of participants (55%) answered the majority of responses correctly. Finally, we also measured the number of good responses in general. ANS3 was recognized the most while ANS2 was the less one. Table 3 presents the number of good responses and the confusion matrix for each answer. 4 Discussion The aim of this experiment was to verify the rules of facial behaviour management model.

Niewiadomski and C. Pelachaud Processing The values of social power (SP) and distance (SD) and the label of an emotional state Ei are the inputs of our model. SP and SD take values from the interval [0,1]. The emotional state is described by an emotional label from a finite set of labels. This set contains emotions whose expressions can be displayed by the agent. 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.

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