Welcome to the upgraded MacSphere! We're putting the finishing touches on it; if you notice anything amiss, email macsphere@mcmaster.ca

Statistical Decision Theory Models of Sequential Multiple Observations by Human Observers

Loading...
Thumbnail Image

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

<p>Kinchla (1969 ) has proposed a general model for multiple observation tasks which assumes that humam observers respond in such tasks on the basis of the sum of the sensory information available to them. In this thesis Kinchla's simple sum model is compared to a model which assumes that observers respond on the basis of the weighted sum of the sensory information available to them.</p> <p>Three experiments were carried out. The major findings were that in a two interval sequential multiple observation task:</p> <p>1) Stimulus Frequency within an interval does not induce weighting.</p> <p>2) Instructions to concentrate on one interval induce weighting.</p> <p>3) False information feedback about one interval induces weighting.</p> <p>The relevance of the results to theories of "attention" is discussed.</p>

Description

Citation

Endorsement

Review

Supplemented By

Referenced By