Titlebook: Affective Computing and Intelligent Interaction; Fourth International Sidney D’Mello,Arthur Graesser,Jean-Claude Martin Conference proceedi

Urgency

0302-9743 tive computing, affective and social robotics, affective and behavioral interfaces, relevant insights from psychology, affective databases, Evaluation and annotation tools.978-3-642-24570-1978-3-642-24571-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

乳白光

https://doi.org/10.1007/978-3-8349-6183-9d approach for transforming the 1,034 English words’ ratings to the corresponding Chinese words’ ratings. The experimental result demonstrated that the proposed approach can be practically implemented and provide adequate results.

FLIT

Unternehmensführung & Controllingtal results using a kNN classifier show that one of them almost always results in higher classification accuracy than a uniform sampling approach. We expect that ACS, together with transfer learning, will greatly reduce the data acquisition effort to customize an affective computing system.

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A Regression Approach to Affective Rating of Chinese Words from ANEWd approach for transforming the 1,034 English words’ ratings to the corresponding Chinese words’ ratings. The experimental result demonstrated that the proposed approach can be practically implemented and provide adequate results.

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侵略者

EMOGIB: Emotional Gibberish Speech Database for Affective Human-Robot Interactionral state and the big six emotions: anger, disgust, fear, happiness, sadness and surprise. The database has been evaluated through a perceptual test for all subsets of the database by adults and one subset of the database with children, achieving recognition scores up to 81%.

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Lutgart Berghe,Christoph Elst,Abigail Levrauthe classification performance obtained using acoustic cues and conversational cues shows that the emotions: flow and boredom are better captured in acoustics than conversational cues while conversational cues play a more important role in multiple-emotion classification.

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