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          <dc:title>Multimodality in Pervasive Environment</dc:title>
          <dc:creator>Anisetti, Marco</dc:creator>
          <dc:creator>Bellandi, Valerio</dc:creator>
          <dc:creator>Ceravolo, Paolo</dc:creator>
          <dc:creator>Damiani, Ernesto</dc:creator>
          <dc:subject>Pervasive Environment</dc:subject>
          <dc:subject>Uncertainty</dc:subject>
          <dc:description>Future pervasive environments are expected to immerse users in a consistent&#13;
world of probes, sensors and actuators. Multimodal interfaces combined&#13;
with social computing interactions and high-performance networking can foster a&#13;
new generation of pervasive environments. However, much work is still needed to&#13;
harness the full potential of multimodal interaction. In this paper we discuss some&#13;
short-term research goals, including advanced techniques for joining and correlating&#13;
multiple data flows, each with its own approximations and uncertainty models.&#13;
Also, we discuss some longer term objectives, like providing users with a mental&#13;
model of their own multimodal "aura", enabling them to collaborate with the network&#13;
infrastructure toward inter-modal correlation of multimodal inputs, much in&#13;
the same way as the human brain extracts a single self-conscious experience from&#13;
multiple sensorial data flows.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Marco Anisetti and Valerio Bellandi and Paolo Ceravolo and Ernesto Damiani</dc:contributor>
          <dc:date>2010</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 10042, Semantic Challenges in Sensor Networks (2010)</dc:relation>
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          <dc:language>eng</dc:language>
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