2009 | OriginalPaper | Buchkapitel
Information State Based Multimodal Dialogue Management: Estimating Conversational Engagement from Gaze Information
verfasst von : Yukiko Nakano, Yuji Yamaoka
Erschienen in: Intelligent Virtual Agents
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Thanks to the progress of computer vision technologies and human sensing technologies, human behaviors, such as gaze and head poses, can be accurately measured in real time. Previous studies in multimodal user interfaces and intelligent virtual agents presented many interesting applications by exploiting such sensing technologies [1, 2]. However, little has been studied how to extract communication signals from a huge amount of data, and how to use such data in dialogue management in conversational agents.