title: A model of automatic attention attraction when mapping is partially consistent.
abstract: A model is described to account for the data of Durso, Cooke, Breen, and Schvaneveldt (1987). On the basis of the relative frequency of an item's presentation as a target, the item develops an automatic tendency to attract attention. When stimuli are then displayed, each calls the attention system to a degree determined by its present strength. We assume that attention eventually drifts to the strongest stimulus (which is then given as a response), but in a time determined inversely by the difference in strength between the two strongest stimuli. A version of this model in which the strengths were freely estimated parameters predicted the various elements of the data with good accuracy. In other versions of the model, strength values were derived from assumptions concerning the learning of automatism. Two of these models, quite different in character, captured the major qualitative features of the data. Further empirical tests of the models are suggested.
authors.affiliation: Psychology Department, Indiana University, Bloomington 47405.
authors.forename: R M
authors.initials: RM
authors.lastname: Shiffrin
authors.forename: M P
authors.initials: MP
authors.lastname: Czerwinski
mesh_terms: D001288:Attention; D004193:Discrimination Learning; D005556:Form Perception; D006801:Humans; D010364:Pattern Recognition, Visual; D011597:Psychomotor Performance; D011930:Reaction Time