Abstract
Abstract : A model of human information processing that links the properties of presented information to situation assessments based on this information is described, and data from experiments testing the major model attributes are presented. The model is based on the assumption that humans assess situations by determining the extent to which features in an observed situation match features of previously encountered reference situations that have been encoded as schema within semantic memory. The model involves seven processing steps. The first six are: schema activation at task initiation, object classification, substitution of objects not usually processed by the schema with functional equivalents that can be processed, scaling of features using schema criteria curves, weighting of features, and combining features using a weighted geometric mean of scaled features. The seventh step is an iteration of the last three. The experimental data strongly support the proposed model as a descriptive model of human information processing. The model has value, as well, for the design of information presentation aids.
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