Perception depends on practice. With experience, people learn to distinguish among objects with audio and visual cues. With practice, object recognition becomes fast, reliable and accurate.
Human perception is fuzzy. This virtue enables image recognition from varied views, distances, illumination conditions etc.
State recognition issues are relevant to resolving the Similarity dilemma. They imply that different levels of uniformity may be applied to enable the leveling of state recognition. Specifically, primary cues such as the screen dimensions may be used to classify the screens, for example, to distinguish warning messages from screens used in routine operation.
Secondary cues such as the screen background color are useful to indicate situation attributes, such as the type of warning message or the system mode. In particular, they may prevent mode confusion, because they permit mode recognition at a glance.
Updated on 29 May 2016.