A Multi-modal Eliza Using Natural Language Processing and Emotion Recognition

نویسندگان

  • Siska Fitrianie
  • Pascal Wiggers
  • Léon J. M. Rothkrantz
چکیده

In the human machine interaction domain adaptive life-like agents are becoming a popular interface. In order to provide a natural conversation such agents should be able to display emotion and to recognize the user’s emotions. This paper describes a computer model for amulti-modal communication system based on the famous Eliza question-answering system. A human user can communicate with the developed system using typed natural language. The system will reply with text-prompts and appropriate facial-expressions.

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تاریخ انتشار 2003