Literature DB >> 21788672

Attention and visual memory in visualization and computer graphics.

Christopher G Healey1, James T Enns.   

Abstract

A fundamental goal of visualization is to produce images of data that support visual analysis, exploration, and discovery of novel insights. An important consideration during visualization design is the role of human visual perception. How we "see" details in an image can directly impact a viewer's efficiency and effectiveness. This paper surveys research on attention and visual perception, with a specific focus on results that have direct relevance to visualization and visual analytics. We discuss theories of low-level visual perception, then show how these findings form a foundation for more recent work on visual memory and visual attention. We conclude with a brief overview of how knowledge of visual attention and visual memory is being applied in visualization and graphics. We also discuss how challenges in visualization are motivating research in psychophysics.

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Year:  2012        PMID: 21788672     DOI: 10.1109/TVCG.2011.127

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  8 in total

1.  Negotiation and Decision Making with Collaborative Software: How MarineMap 'Changed the Game' in California's Marine Life Protected Act Initiative.

Authors:  Amanda E Cravens
Journal:  Environ Manage       Date:  2015-10-01       Impact factor: 3.266

2.  ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology.

Authors:  Jamie Waese; Jim Fan; Asher Pasha; Hans Yu; Geoffrey Fucile; Ruian Shi; Matthew Cumming; Lawrence A Kelley; Michael J Sternberg; Vivek Krishnakumar; Erik Ferlanti; Jason Miller; Chris Town; Wolfgang Stuerzlinger; Nicholas J Provart
Journal:  Plant Cell       Date:  2017-08-14       Impact factor: 11.277

3.  Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets.

Authors:  Fritz Lekschas; Michael Behrisch; Benjamin Bach; Peter Kerpedjiev; Nils Gehlenborg; Hanspeter Pfister
Journal:  IEEE Trans Vis Comput Graph       Date:  2019-08-22       Impact factor: 4.579

4.  Visualizing Validation of Protein Surface Classifiers.

Authors:  A Sarikaya; D Albers; J Mitchell; M Gleicher
Journal:  Comput Graph Forum       Date:  2014-06       Impact factor: 2.078

5.  Influence of Perceptual Saliency Hierarchy on Learning of Language Structures: An Artificial Language Learning Experiment.

Authors:  Tao Gong; Yau W Lam; Lan Shuai
Journal:  Front Psychol       Date:  2016-12-21

6.  Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape.

Authors:  Jamie Waese; Nicholas J Provart; David S Guttman
Journal:  PLoS One       Date:  2017-05-01       Impact factor: 3.240

7.  Which emphasis technique to use? Perception of emphasis techniques with varying distractors, backgrounds, and visualization types.

Authors:  Aristides Mairena; Carl Gutwin; Andy Cockburn
Journal:  Inf Vis       Date:  2021-09-22       Impact factor: 0.956

8.  Finding counterfeited banknotes: the roles of vision and touch.

Authors:  Frank van der Horst; Joshua Snell; Jan Theeuwes
Journal:  Cogn Res Princ Implic       Date:  2020-08-20
  8 in total

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