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Multimodal Input for Meeting Browsing and Retrieval Interfaces: Preliminary Findings

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Machine Learning for Multimodal Interaction (MLMI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4299))

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Abstract

In this paper we discuss the results of user-based experiments to determine whether multimodal input to an interface for browsing and retrieving multimedia meetings gives users added value in their interactions. We focus on interaction with the Archivus interface using mouse, keyboard, voice and touchscreen input. We find that voice input in particular appears to give added value, especially when used in combination with more familiar modalities such as the mouse and keyboard. We conclude with a discussion of some of the contributing factors to these findings and directions for future work.

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© 2006 Springer-Verlag Berlin Heidelberg

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Lisowska, A., Armstrong, S. (2006). Multimodal Input for Meeting Browsing and Retrieval Interfaces: Preliminary Findings. In: Renals, S., Bengio, S., Fiscus, J.G. (eds) Machine Learning for Multimodal Interaction. MLMI 2006. Lecture Notes in Computer Science, vol 4299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11965152_13

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  • DOI: https://doi.org/10.1007/11965152_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69267-6

  • Online ISBN: 978-3-540-69268-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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