| Summary: | Virtual agents are essential representatives of multimodal user interfaces. This thesis presents the IVAN system (Intelligent Interactive Virtual Agent Narrators) that generates affective commentary on a tennis game that is given as an annotated video in real-time. The system employs two distinguishable virtual agents that have different roles (TV com- mentator, expert), personality profiles, and positive, neutral, or negative attitudes to the players. The system uses an HTN planner to generate dialogues which enables to plan large dialogue contributions and generate alternative plans. The system can also interrupt the current discourse if a more important event happens. The current affect of the virtual agents is conveyed by lexical selection, facial expression, and gestures. We have focused on the dialogue planning, knowledge processing, and behaviour control of the virtual agents. Commercial products have been used as the audio-visual component of the system.
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