完整性与意义：图形数据显示的基本且相互正交的维度。
Integrality and meaning: essential and orthogonal dimensions of graphical data display.
作者信息
Cole W G
机构信息
Department of Medical Education, University of Washington, Seattle.
出版信息
Proc Annu Symp Comput Appl Med Care. 1993:404-8.
There are few sound principles, rules, or laws to guide construction of graphic displays of medical data or information. The present paper describes two orthogonal dimensions of data displays: integrality and meaningfulness. These are hypothesized to be both fundamental building blocks of a theory of graphic representation and programmatically useful principles for organizing previously created graphic displays and creating new ones. Examples taken from recent medical informatics literature illustrate high and low integral vs. high and low meaningful displays. If the present analysis is correct, then pattern recognition tasks will be better supported by displays that are high on both integrality and meaningfulness. Integrality, it is hypothesized, increased the degree to which a pattern is apparent. Meaningfulness increases the degree to which a pattern, once detected, is interpretable.
几乎没有完善的原则、规则或定律可用于指导医学数据或信息图形显示的构建。本文描述了数据显示的两个正交维度：完整性和意义性。假设这两者都是图形表示理论的基本构建要素，也是用于组织先前创建的图形显示和创建新图形显示的具有编程实用性的原则。从近期医学信息学文献中选取的示例说明了高完整性与低完整性以及高意义性与低意义性的显示情况。如果当前的分析是正确的，那么完整性和意义性都高的显示将能更好地支持模式识别任务。据推测，完整性会提高模式的明显程度。意义性会提高模式一旦被检测到后的可解释程度。
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