Chapter

Adaptive Psychophysical Procedures

Zhong-Lin Lu and Barbara Dosher

in Visual Psychophysics

Published by The MIT Press

Published in print November 2013 | ISBN: 9780262019453
Published online May 2014 | e-ISBN: 9780262314930 | DOI: https://dx.doi.org/10.7551/mitpress/9780262019453.003.0011
Adaptive Psychophysical Procedures

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Adaptive procedures are developed to reduce the burden of data collection in psychophysics by creating more efficient experimental test designs and methods of estimating either statistics or parameters. In some cases, these adaptive procedures may reduce the amount of testing by as much as 80% to 90%. This chapter begins with a description of classical staircase procedures for estimating the threshold and/or slope of the psychometric function, followed by a description of modern Bayesian adaptive methods for optimizing psychophysical tests. We introduce applications of Bayesian adaptive procedures for the estimation of psychophysically measured functions and surfaces. The bias, precision and efficiency of estimates is considered. Each method is accompanied by an illustrative example and sample results and a discussion of the practical requirements of the procedure.

Keywords: Adaptive testing; Bias; Precision; Efficiency; Adaptive threshold estimation; Staircase procedures; Bayesian adaptive methods; Psi; Quest; Quick methods

Chapter.  13630 words.  Illustrated.

Subjects: Neuroscience

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