Literature DB >> 10703262

Constrained scaling: the effect of learned psychophysical scales on idiosyncratic response bias.

R L West1, L M Ward, R Khosla.   

Abstract

We report seven experiments in which subjects were trained to respond with numbers to the loudness of 1000-Hz pure tones according to power functions with exponents of 0.60, 0.30, and 0.90. Subjects were then presented with stimuli from other continua (65-Hz pure tones or 565-nm lights varying in amplitude) and were asked to judge the subjective magnitude of these stimuli on the same numerical scale. Stimuli from the training continuum were presented, with feedback, on every other trial in order to maintain the trained scale. Except for the 0.90 scale, subjects readily learned the predetermined scales and were able to use them to judge the non-training stimuli with group results consistent with those usually reported. Also, in contrast to the usual magnitude estimation results, these results produced extremely low levels of intersubject variability. We argue that such learned scales can be used as "rulers" for measuring perceived magnitudes, according to a common unit.

Mesh:

Year:  2000        PMID: 10703262     DOI: 10.3758/bf03212067

Source DB:  PubMed          Journal:  Percept Psychophys        ISSN: 0031-5117


  4 in total

1.  Memory for psychophysical scaling judgments.

Authors:  L M Ward; J Armstrong; N Golestani
Journal:  Psychon Bull Rev       Date:  1999-09

2.  Human Psychophysical Functions, an Update: Methods for Identifying their form; Estimating their Parameters; and Evaluating the Effects of Important Predictors.

Authors:  Diana E Kornbrot
Journal:  Psychometrika       Date:  2014-09-04       Impact factor: 2.500

3.  Achieving across-laboratory replicability in psychophysical scaling.

Authors:  Lawrence M Ward; Michael Baumann; Graeme Moffat; Larry E Roberts; Shuji Mori; Matthew Rutledge-Taylor; Robert L West
Journal:  Front Psychol       Date:  2015-07-02

4.  Time perception and depressive realism: judgment type, psychophysical functions and bias.

Authors:  Diana E Kornbrot; Rachel M Msetfi; Melvyn J Grimwood
Journal:  PLoS One       Date:  2013-08-21       Impact factor: 3.240

  4 in total

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