Data structures and perceptual structures

摘要

In this paper, we propose a visualization architecture which explicitly incorporates guidance based on principles of human perception, cognition, and color theory. These principles are incorporated in rules which the user can select during the visualization process. Depending on the higher-level characteristics of the data, the rule constrains the way in which the data are mapped onto visual dimensions. The purpose of these rules is to help insure that structures in the data are faithfully represented in the image, and that perceptual artifacts are not erroneously interpreted as data features.