This paper presents exploration prototype tools (combining visualization and human-computer interaction aspects) developed for immersive displays in the context of the Image project. Image supports collaboration of users (i.e. experts, specialists, decision-makers.) for common understanding of complex situations by using a human guided feedback loop involving cutting-edge techniques for knowledge representation, scenario scripting, simulation and exploration of large datasets. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Mokhtari, M., Boivin, E., & Laurendeau, D. (2013). Making sense of large datasets in the context of complex situation understanding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8022 LNCS, pp. 251–260). Springer Verlag. https://doi.org/10.1007/978-3-642-39420-1_27
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