Abstract
Multimodal interaction provides the user with multiple modes of interacting with a system, such as gestures, speech, text, video, audio, etc. A multimodal system allows for several distinct means for input and output of data. In this paper, we present our work in the context of the I-SEARCH project, which aims at enabling context-aware querying of a multimodal search framework including real-world data such as user location or temperature. We introduce the concepts of MuSeBag for multimodal query interfaces, UIIFace for multimodal interaction handling, and CoFind for collaborative search as the core components behind the I-SEARCH multimodal user interface, which we evaluate via a user study.
This work is partly funded by the EU FP7 I-SEARCH project under project reference 248296. We would like to thank all of the partners in the I-SEARCH project for their support.
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Etzold, J., Brousseau, A., Grimm, P., Steiner, T. (2012). Context-Aware Querying for Multimodal Search Engines. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_77
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DOI: https://doi.org/10.1007/978-3-642-27355-1_77
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