Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Some speculations on the role of texture processing in visual perception
Early vision and beyond
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Reviewing Data Visualization: an Analytical Taxonomical Study
IV '06 Proceedings of the conference on Information Visualization
The spatial-perceptual design space: a new comprehension for data visualization
Information Visualization
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Visual data analysis follows a sequence of steps derived from perceptual faculties that emanate from the human vision system. Firstly, pre-attentive phenomena determine a map of potential interesting objectives. Then, attentive selection concentrates on one element of a vocabulary of visual perceptions. Lastly, perceptions in working memory combine to long-term domain knowledge to support cognition. Following this process, we present a model that joins vision theory and visual data analysis aiming at settling a comprehension of why graphical presentations expand the human intellect, making us smarter.