From Emotion to Interaction: Lessons from Real Human-Machine-Dialogues

The monitoring of emotional user states can help to assess the progress of human-machine-communication. If we look at specific databases, however, we are faced with several problems: users behave differently, even within one and the same setting, and some phenomena are sparse; thus it is not possible to model and classify them reliably. We exemplify these difficulties on the basis of SympaFly, a database with dialogues between users and a fully automatic speech dialogue telephone system for flight reservation and booking, and discuss possible remedies.

• Type: Conference
• Year: 2004
• Where: ADS
• Authors: Anton Batliner, Christian Hacker, Stefan Steidl, Elmar Nöth, Jürgen Haas
• Keywords: ADS 2004, Automatic Speech Dialogue, Computer Graphics, Discuss Possible Remedies, Emotional User States