The paper describes an infotainment application where life-like characters present two MP3 players in a virtual showroom. The key feature of the system is that the presenter agents analyze the user’s gaze-behavior in real-time and may thus adapt the presentation flow accordingly. In particular, a user’s (non-)interest in interface objects and also preference in decision situations is estimated automatically by just using eye gaze as input modality. A formal study was conducted that compared two versions of the application. Results indicate that attentive presentation agents support successful grounding of deictic agent gestures and natural gaze behavior.
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