HeloVis: a Helical Visualization for SIGINT Analysis Using 3D Immersion

Alma Cantu 1, 2, 3 Thierry Duval 1, 2 Olivier Grisvard 1, 2, 3 Gilles Coppin 1, 2
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper we present HeloVis: a 3D interactive visualization that relies on immersive properties to improve the user performance during SIGINT analysis. SIGINT, which stands for SIGnal INTelligence, is a field facing many challenges like huge amounts of data, complex data and novice users. HeloVis draws on perceptive biases, highlighted by Gestalt laws, and on depth perception to enhance the recurrence properties contained into the data and to abstract from interferences such as noise or missing data. In this paper, we first present SIGINT and the challenges that it brings to visual analytics. Then, we present the existing work that is currently used in or that fits the SIGINT context. Finally, we present HeloVis, an innovative application on an immersive context that allows performing SIGINT analysis and we present its evaluation performed with military operators who are the end-users of SIGINT analysis.
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Submitted on : Wednesday, April 18, 2018 - 3:01:46 PM
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Alma Cantu, Thierry Duval, Olivier Grisvard, Gilles Coppin. HeloVis: a Helical Visualization for SIGINT Analysis Using 3D Immersion. 11th IEEE Pacific Visualization Symposium (PacificVis 2018), Apr 2018, Kobe, Japan. pp.175-179. ⟨hal-01769974⟩



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