Visible to the public Biblio

Filters: Keyword is Data visualization  [Clear All Filters]
2019-09-09
A. Endert.  2014.  Semantic Interaction for Visual Analytics: Toward Coupling Cognition and Computation. IEEE Computer Graphics and Applications. 34:8-15.

Alex Endert's dissertation "Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering" described semantic interaction, a user interaction methodology for visual analytics (VA). It showed that user interaction embodies users' analytic process and can thus be mapped to model-steering functionality for "human-in-the-loop" system design. The dissertation contributed a framework (or pipeline) that describes such a process, a prototype VA system to test semantic interaction, and a user evaluation to demonstrate semantic interaction's impact on the analytic process. This research is influencing current VA research and has implications for future VA research.

E. Peterson.  2016.  Dagger: Modeling and visualization for mission impact situation awareness. MILCOM 2016 - 2016 IEEE Military Communications Conference. :25-30.

Dagger is a modeling and visualization framework that addresses the challenge of representing knowledge and information for decision-makers, enabling them to better comprehend the operational context of network security data. It allows users to answer critical questions such as “Given that I care about mission X, is there any reason I should be worried about what is going on in cyberspace?” or “If this system fails, will I still be able to accomplish my mission?”.