Implicit detection of event interdependencies.

Item

Title
Implicit detection of event interdependencies.
Identifier
AAI9224829
identifier
9224829
Creator
Kushner, Harry Michael.
Contributor
Adviser: Arthur S. Reber
Date
1992
Language
English
Publisher
City University of New York.
Subject
Psychology, Experimental
Abstract
This dissertation presents three experiments which explore the ability of human subjects to extract covariation information from rule-governed visual displays. The procedure used in all of the experiments involves a prediction task in which subjects "guess" (with feedback) the location of a target event following a sequence of 5 or 9 similar events. In all cases, the location of the target event can be predicted with perfect accuracy according to a deterministic rule based on the relationship of 2 of the events in the immediately preceding sequence. Results from the experiments support the following broad conclusions: first, subjects can learn rules of this kind as measured by their steadily improving accuracy; second, their learning is largely implicit, that is, unaccompanied by conscious, explicit knowledge of the rules which govern the correct responses; third, they can transfer this learning to a new rule structure when the feedback is systematically shifted; and fourth, instructions which inform some subjects about the existence of a rule result in larger between-subject variation in performance relative to those not so informed. Implications of this work for implicit learning theory, and for cognitive psychology in general, are discussed.
Type
dissertation
Source
PQT Legacy CUNY.xlsx
degree
Ph.D.
Item sets
CUNY Legacy ETDs