Visible to the public Semantic Interaction for Visual Analytics: Toward Coupling Cognition and ComputationConflict Detection Enabled

Submitted by Katie Dey on Mon, 09/09/2019 - 3:29pm
TitleSemantic Interaction for Visual Analytics: Toward Coupling Cognition and Computation
Publication TypeJournal Article
Year of Publication2014
AuthorsA. Endert
JournalIEEE Computer Graphics and Applications
Volume34
Pagination8-15
Date PublishedJuly
ISSN0272-1716
KeywordsAlex Endert, Analytical models, analytical reasoning, C3E 2019, Cognition, computation, Computational modeling, Computer graphics, Data analysis, Data models, data visualisation, Data visualization, Graphics, HMT, human computer interaction, Human Machine Teaming, human-computer interaction, human-in-the-loop system design, IN-SPIRE, Interactions, model steering functionality, semantic interaction, Semantics, user analytic process, user evaluation, user interaction methodology, visual analytics, visualization
Abstract

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.
DOI10.1109/MCG.2014.73
Citation Key6855271
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