Letter identification as a function of type of perceptual limitation and type of attribute

It is argued that the distribution of errors in letter identification depends on two factors: (a) whether the set of letters is defined by features that exist or do not exist or by dimensions that exist at some positive value, and (b) whether errors are produced by process limitation in which the letter patterns are distorted or by state limitation in which there is inadequate energy. A specific hypothesis tested was that error distributions reflect the attribute structure under both types of limitation if dimensions define the letter set, but only under a process limitation if features define the letter set. Under a state limitation, feature set errors are primarily produced by a loss of features, so that a letter with more features is called a letter with fewer features more often than conversely. An experiment completely validated the hypothesis under test. In addition, the relative discriminabilities of two dimensions defining a dimension set of letters was reversed from state to process limitation. Thus the attribute structure derived from error distributions is not invariant across types of perceptual limitation, nor are distances between letter pairs always symmetric.