Cognitive dimensions of notations
design principles
Cognitive dimensions or cognitive dimensions of notations are design principles for notations, user interfaces and programming languages, described by researcher Thomas R.G. Green and further researched with Marian Petre. The dimensions can be used to evaluate the usability of an existing information artifact, or as heuristics to guide the design of a new one, and are useful in Human-Computer Interaction design.
Cognitive dimensions are designed to provide a lightweight approach to analyse the quality of a design, rather than an in-depth, detailed description. They provide a common vocabulary for discussing many factors in notation, UI or programming language design. Also, cognitive dimensions help in exploring the space of possible designs through design maneuvers, changes intended to improve the design along one dimension.
List of the cognitive dimensions
Thomas Green originally defined 14 cognitive dimensions:
Abstraction gradient
What are the minimum and maximum levels of abstraction exposed by the notation? Can details be encapsulated?
Closeness of mapping
How closely does the notation correspond to the problem domain world?
Consistency
After part of the notation has been learned, how much of the rest can be successfully guessed, either by combining the known elements in new ways or by trying to use new elements with related meanings? For example: if there exist a 'max(list)' operation to find the largest item in a list, the user may guess that 'min(list)' will find the smallest.
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