Title :
Affect Bartender — Affective cues and their application in a conversational agent
Author :
Skowron, Marcin ; Paltoglou, Georgios
Author_Institution :
Austrian Res. Inst. for Artificial Intell., Vienna, Austria
Abstract :
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 :
interactive systems; virtual reality; affect bartender; affective cues; conversational agent; conversational system; core system components; textual expressions; users affective states; virtual reality setting; Avatars; Computer architecture; Dictionaries; Humans; Pragmatics; Psychology; Training; Affective Interactions; Conversational Agent; Sentiment Classification; Textual Affect Sensing;
Conference_Titel :
Affective Computational Intelligence (WACI), 2011 IEEE Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-083-3
DOI :
10.1109/WACI.2011.5953152
