Abstract
This paper describes a multimodal dialogue driven system, ARCHIVUS, that allows users to access and retrieve the content of recorded and annotated multimodal meetings. We describe (1) a novel approach taken in designing the system given the relative inapplicability of standard user requirements elicitation methodologies, (2) the components of ARCHIVUS, and (3) the methodologies that we plan to use to evaluate the system.
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Lisowska, A., Rajman, M., Bui, T.H. (2005). ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings. In: Bengio, S., Bourlard, H. (eds) Machine Learning for Multimodal Interaction. MLMI 2004. Lecture Notes in Computer Science, vol 3361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30568-2_25
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DOI: https://doi.org/10.1007/978-3-540-30568-2_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24509-4
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