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OFAI-TR-2011-13

Affect Bartender - Affective Cues and Their Application in a Conversational Agent

Marcin Skowron, Georgios Paltoglou

This paper presents methods for the detection of textual expressions of users' affective states and explores an application of these affective cues in a conversational system -- Affect Bartender. We also describe the architecture of the system, core system components and a range of developed communication interfaces.The application of the described methods is illustrated with examples of dialogs conducted with experiment participants in a Virtual Reality setting.

Keywords: Affective Interactions, Conversational Agent Textual Affect Sensing, Sentiment Classification, Publications List Interact

Citation: Skowron M., Paltoglou G.: Affect Bartender - Affective Cues and Their Application in a Conversational Agent. Technical Report, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, TR-2011-13, 2011