Literature DB >> 25051565

Semantic interaction for visual analytics: toward coupling cognition and computation.

Alex Endert.   

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.

Entities:  

Year:  2014        PMID: 25051565     DOI: 10.1109/MCG.2014.73

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN: 0272-1716            Impact factor:   2.088


  1 in total

1.  Leveraging deep contrastive learning for semantic interaction.

Authors:  Mahdi Belcaid; Alberto Gonzalez Martinez; Jason Leigh
Journal:  PeerJ Comput Sci       Date:  2022-04-08
  1 in total

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