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. © 2011 IEEE.
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CITATION STYLE
Skowron, M., & Paltoglou, G. (2011). Affect Bartender - Affective Cues and Their Application in a Conversational Agent. In IEEE SSCI 2011 - Symposium Series on Computational Intelligence - WACI 2011: 2011 Workshop on Affective Computational Intelligence (pp. 38–44). IEEE Computer Society. https://doi.org/10.1109/WACI.2011.5953152
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