Abstract
Consistency can be expressed in terms of minimal components of an interaction language. However, what is taken as a unit in describing stimulus events is crucial. A particular command set may be generated by very few rules (internal consistency) but should also map on to the users' expectations (higher level consistency, or compatibility). Sixty subjects took part in a simple computer game in order to explore the relationship between internal consistency, compatibility, and mode of learning. Internal consistency was found to be related to the subjects' ability to create an explicit model of the task, and compatibility was related to enhanced performance on the task. There was evidence that properties of a consistent underlying rule structure were made more salient when the mappings were consistent with users' expectations—and only under these circumstances were performance benefits observed.
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