Affect Bartender Affective cues and their application in a conversational agent

  • Skowron M
  • Paltoglou G
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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.

Author-supplied keywords

  • Affective Interactions
  • Conversational Agent
  • Sentiment Classification
  • Textual Affect Sensing

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  • Marcin Skowron

  • Georgios Paltoglou

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