A satisfaction-based model for affect recognition from conversational features in spoken dialog systems

•It is possible to model affect using a corpus that was collected from an evaluation that was originally meant for non-emotion related assessment.•Conversational features could be used as a single source to model user affect in a limited-task domestic agent.•Affect could be inferred by directly pred...

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Veröffentlicht in:	Speech communication 2013-09, Vol.55 (7-8), p.825-840
Hauptverfasser:	Lebai Lutfi, Syaheerah, Fernández-Martínez, Fernando, Lucas-Cuesta, Juan Manuel, López-Lebón, Lorena, Montero, Juan Manuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Affective spoken dialog system Automatic affect detection Conversation Conversational cues Dialog features Domestic environment Emotions Frustration HiFi agent Mathematical models Predicting user satisfaction Ratings Social intelligence Tasks User bias User satisfaction
Online-Zugang:	Volltext
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