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qPR: An adaptive partial-report procedure based on Bayesian inference

Iconic memory is best assessed with the partial report procedure in which an array of letters appears briefly on the screen and a poststimulus cue directs the observer to report the identity of the cued letter(s). Typically, 6–8 cue delays or 600–800 trials are tested to measure the iconic memory de...

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Autores principales: Baek, Jongsoo, Lesmes, Luis Andres, Lu, Zhong-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5019336/
https://www.ncbi.nlm.nih.gov/pubmed/27580045
http://dx.doi.org/10.1167/16.10.25
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author Baek, Jongsoo
Lesmes, Luis Andres
Lu, Zhong-Lin
author_facet Baek, Jongsoo
Lesmes, Luis Andres
Lu, Zhong-Lin
author_sort Baek, Jongsoo
collection PubMed
description Iconic memory is best assessed with the partial report procedure in which an array of letters appears briefly on the screen and a poststimulus cue directs the observer to report the identity of the cued letter(s). Typically, 6–8 cue delays or 600–800 trials are tested to measure the iconic memory decay function. Here we develop a quick partial report, or qPR, procedure based on a Bayesian adaptive framework to estimate the iconic memory decay function with much reduced testing time. The iconic memory decay function is characterized by an exponential function and a joint probability distribution of its three parameters. Starting with a prior of the parameters, the method selects the stimulus to maximize the expected information gain in the next test trial. It then updates the posterior probability distribution of the parameters based on the observer's response using Bayesian inference. The procedure is reiterated until either the total number of trials or the precision of the parameter estimates reaches a certain criterion. Simulation studies showed that only 100 trials were necessary to reach an average absolute bias of 0.026 and a precision of 0.070 (both in terms of probability correct). A psychophysical validation experiment showed that estimates of the iconic memory decay function obtained with 100 qPR trials exhibited good precision (the half width of the 68.2% credible interval = 0.055) and excellent agreement with those obtained with 1,600 trials of the conventional method of constant stimuli procedure (RMSE = 0.063). Quick partial-report relieves the data collection burden in characterizing iconic memory and makes it possible to assess iconic memory in clinical populations.
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spelling pubmed-50193362016-09-13 qPR: An adaptive partial-report procedure based on Bayesian inference Baek, Jongsoo Lesmes, Luis Andres Lu, Zhong-Lin J Vis Methods Iconic memory is best assessed with the partial report procedure in which an array of letters appears briefly on the screen and a poststimulus cue directs the observer to report the identity of the cued letter(s). Typically, 6–8 cue delays or 600–800 trials are tested to measure the iconic memory decay function. Here we develop a quick partial report, or qPR, procedure based on a Bayesian adaptive framework to estimate the iconic memory decay function with much reduced testing time. The iconic memory decay function is characterized by an exponential function and a joint probability distribution of its three parameters. Starting with a prior of the parameters, the method selects the stimulus to maximize the expected information gain in the next test trial. It then updates the posterior probability distribution of the parameters based on the observer's response using Bayesian inference. The procedure is reiterated until either the total number of trials or the precision of the parameter estimates reaches a certain criterion. Simulation studies showed that only 100 trials were necessary to reach an average absolute bias of 0.026 and a precision of 0.070 (both in terms of probability correct). A psychophysical validation experiment showed that estimates of the iconic memory decay function obtained with 100 qPR trials exhibited good precision (the half width of the 68.2% credible interval = 0.055) and excellent agreement with those obtained with 1,600 trials of the conventional method of constant stimuli procedure (RMSE = 0.063). Quick partial-report relieves the data collection burden in characterizing iconic memory and makes it possible to assess iconic memory in clinical populations. The Association for Research in Vision and Ophthalmology 2016-08-31 /pmc/articles/PMC5019336/ /pubmed/27580045 http://dx.doi.org/10.1167/16.10.25 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Methods
Baek, Jongsoo
Lesmes, Luis Andres
Lu, Zhong-Lin
qPR: An adaptive partial-report procedure based on Bayesian inference
title qPR: An adaptive partial-report procedure based on Bayesian inference
title_full qPR: An adaptive partial-report procedure based on Bayesian inference
title_fullStr qPR: An adaptive partial-report procedure based on Bayesian inference
title_full_unstemmed qPR: An adaptive partial-report procedure based on Bayesian inference
title_short qPR: An adaptive partial-report procedure based on Bayesian inference
title_sort qpr: an adaptive partial-report procedure based on bayesian inference
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5019336/
https://www.ncbi.nlm.nih.gov/pubmed/27580045
http://dx.doi.org/10.1167/16.10.25
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