Abstract
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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Eichner, T., Prendinger, H., André, E., & Ishizuka, M. (2007). Attentive presentation agents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4722 LNCS, pp. 283–295). Springer Verlag. https://doi.org/10.1007/978-3-540-74997-4_26
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