A human cognition framework for information visualization

被引：82
|
作者：
Patterson, Robert E. [1 ]
Blaha, Leslie M. [1 ]
Grinstein, Georges G. [2 ]
Liggett, Kristen K. [1 ]
Kaveney, David E. [3 ]
Sheldon, Kathleen C. [2 ]
Havig, Paul R. [1 ]
Moore, Jason A. [3 ]
机构：
[1] Air Force Res Lab, Human Effectiveness Directorate, Wright Patterson AFB, OH 45433 USA
[2] Univ Massachusetts, Dept Comp Sci, Lowell, MA USA
[3] Air Force Res Lab, Informat Directorate, Wright Patterson AFB, OH USA
来源：
COMPUTERS & GRAPHICS-UK | 2014年 / 42卷
关键词：
Information visualization; Visual analytics; Human cognition; Cognitive augmentation; Visual attention; LONG-TERM-MEMORY; DECISION-MAKING; WORKING-MEMORY; VISUAL ANALYTICS; LINE SEGMENTS; MENTAL MODELS; REPRESENTATION; ATTENTION; SYSTEMS; PERCEPTION;
D O I：
10.1016/j.cag.2014.03.002
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We present a human cognition framework for information visualization. This framework emphasizes how top-down cognitive processing enables the induction of insight, reasoning, and understanding, which are key goals of the visual analytics community. Specifically, we present a set of six leverage points that can be exploited by visualization designers in order to measurably influence certain aspects of human cognition: (1) exogenous attention; (2) endogenous attention; (3) chunking; (4) reasoning with mental models; (5) analogical reasoning; and (6) implicit learning. Published by Elsevier Ltd.
引用
收藏
页码：42 / 58
页数：17
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