Attention and Visual Memory in Visualization and Computer Graphics

被引：216
作者：
Healey, Christopher G. [1 ]
Enns, James T. [2 ]
机构：
[1] N Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA
[2] Univ British Columbia, Dept Psychol, Vancouver, BC V6T 1Z4, Canada
来源：
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS | 2012年 / 18卷 / 07期
基金：
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词：
Attention; color; motion; nonphotorealism; texture; visual memory; visual perception; visualization; HUMAN-VISION; RAPID RESUMPTION; CHANGE BLINDNESS; GUIDED SEARCH; STATISTICAL PROPERTIES; TEXTURE SEGREGATION; DETECT CHANGES; EYE-MOVEMENTS; PERCEPTION; MOTION;
D O I：
10.1109/TVCG.2011.127
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：1170 / 1188
页数：19
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