Literature DB >> 24808054

Beyond control panels: direct manipulation for visual analytics.

Alex Endert, Lauren Bradel, Chris North.   

Abstract

To tackle the onset of big data, visual analytics seeks to marry the human intuition of visualization with mathematical models' analytical horsepower. A critical question is, how will humans interact with and steer these complex models? Initially, users applied direct manipulation to such models the same way they applied it to simpler visualizations in the premodel era--using control panels to directly manipulate model parameters. However, opportunities are arising for direct manipulation of the model outputs, where the users' thought processes take place, rather than the inputs. This article presents this new agenda for direct manipulation for visual analytics.

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Year:  2013        PMID: 24808054     DOI: 10.1109/MCG.2013.53

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


  2 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

2.  Immersive Analytics: Theory and Research Agenda.

Authors:  Richard Skarbez; Nicholas F Polys; J Todd Ogle; Chris North; Doug A Bowman
Journal:  Front Robot AI       Date:  2019-09-10
  2 in total

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