Logical Rules and the Classification of Integral-Dimension Stimuli

Autor/inn/en	Little, Daniel R.; Nosofsky, Robert M.; Donkin, Christopher; Denton, Stephen E.
Titel	Logical Rules and the Classification of Integral-Dimension Stimuli
Quelle	In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 39 (2013) 3, S.801-820 (20 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0278-7393
DOI	10.1037/a0029667
Schlagwörter	Classification; Stimuli; Reaction Time; Models; Cognitive Processes; Prediction; College Students; Perception; Foreign Countries; Australia; Indiana + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Anreizsystem; Reaktionsvermögen; Analogiemodell; Cognitive process; Kognitiver Prozess; Vorhersage; Collegestudent; Wahrnehmung; Ausland; Australien
Abstract	A classic distinction in perceptual information processing is whether stimuli are composed of separable dimensions, which are highly analyzable, or integral dimensions, which are processed holistically. Previous tests of a set of logical-rule models of classification have shown that separable-dimension stimuli are processed serially if the dimensions are spatially separated and as a mixture of serial and parallel processes if the dimensions are spatially overlapping (Fific, Little, & Nosofsky, 2010; Little, Nosofsky, & Denton, 2011). In the current research, the logical-rule models are applied to predict response-time (RT) data from participants trained to classify integral-dimension color stimuli into rule-based categories. In dramatic contrast to the previous results for separable-dimension stimuli, analysis of the current data indicated that processing was best captured by a single-channel coactive model. The results converge with previous operations that suggest holistic processing of integral-dimension stimuli and demonstrate considerable generality for the application of the logical-rule models to predicting RT data from rule-based classification experiments. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01