Investigating decision rules with a new experimental design: the EXACT paradigm

In the decision-making field, it is important to distinguish between the perceptual process (how information is collected) and the decision rule (the strategy governing decision-making). We propose a new paradigm, called EXogenous ACcumulation Task (EXACT) to disentangle these two components. The pa...

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Main Authors: Valerio eBiscione, Christopher M. Harris
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-11-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbeh.2015.00288/full
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spelling doaj-4bd895b6e53c4851b98a4e425338383f2020-11-24T20:44:21ZengFrontiers Media S.A.Frontiers in Behavioral Neuroscience1662-51532015-11-01910.3389/fnbeh.2015.00288156320Investigating decision rules with a new experimental design: the EXACT paradigmValerio eBiscione0Valerio eBiscione1Christopher M. Harris2Christopher M. Harris3Plymouth UniversityPlymouth UniversityPlymouth UniversityPlymouth UniversityIn the decision-making field, it is important to distinguish between the perceptual process (how information is collected) and the decision rule (the strategy governing decision-making). We propose a new paradigm, called EXogenous ACcumulation Task (EXACT) to disentangle these two components. The paradigm consists of showing a horizontal gauge that represents the probability of receiving a reward at time t and increases with time. The participant is asked to press a button when they want to request a reward. Thus, the perceptual mechanism is hard-coded and does not need to be inferred from the data. Based on this paradigm, we compared four decision rules (Bayes Risk, Reward Rate, Reward/Accuracy and Modified Reward Rate) and found that participants appeared to behave according to the Modified Reward Rate. We propose a new way of analysing the data by using the accuracy of responses, which can only be inferred in classic RT tasks. Our analysis suggests that several experimental findings such as RT distribution and its relationship with experimental conditions, usually deemed to be the result of a rise-to-threshold process, may be simply explained by the effect of the decision rule employed.http://journal.frontiersin.org/Journal/10.3389/fnbeh.2015.00288/fullperceptual choiceSpeed-accuracy trade-offDecision rulesOptimal Performancereward rate
collection DOAJ
language English
format Article
sources DOAJ
author Valerio eBiscione
Valerio eBiscione
Christopher M. Harris
Christopher M. Harris
spellingShingle Valerio eBiscione
Valerio eBiscione
Christopher M. Harris
Christopher M. Harris
Investigating decision rules with a new experimental design: the EXACT paradigm
Frontiers in Behavioral Neuroscience
perceptual choice
Speed-accuracy trade-off
Decision rules
Optimal Performance
reward rate
author_facet Valerio eBiscione
Valerio eBiscione
Christopher M. Harris
Christopher M. Harris
author_sort Valerio eBiscione
title Investigating decision rules with a new experimental design: the EXACT paradigm
title_short Investigating decision rules with a new experimental design: the EXACT paradigm
title_full Investigating decision rules with a new experimental design: the EXACT paradigm
title_fullStr Investigating decision rules with a new experimental design: the EXACT paradigm
title_full_unstemmed Investigating decision rules with a new experimental design: the EXACT paradigm
title_sort investigating decision rules with a new experimental design: the exact paradigm
publisher Frontiers Media S.A.
series Frontiers in Behavioral Neuroscience
issn 1662-5153
publishDate 2015-11-01
description In the decision-making field, it is important to distinguish between the perceptual process (how information is collected) and the decision rule (the strategy governing decision-making). We propose a new paradigm, called EXogenous ACcumulation Task (EXACT) to disentangle these two components. The paradigm consists of showing a horizontal gauge that represents the probability of receiving a reward at time t and increases with time. The participant is asked to press a button when they want to request a reward. Thus, the perceptual mechanism is hard-coded and does not need to be inferred from the data. Based on this paradigm, we compared four decision rules (Bayes Risk, Reward Rate, Reward/Accuracy and Modified Reward Rate) and found that participants appeared to behave according to the Modified Reward Rate. We propose a new way of analysing the data by using the accuracy of responses, which can only be inferred in classic RT tasks. Our analysis suggests that several experimental findings such as RT distribution and its relationship with experimental conditions, usually deemed to be the result of a rise-to-threshold process, may be simply explained by the effect of the decision rule employed.
topic perceptual choice
Speed-accuracy trade-off
Decision rules
Optimal Performance
reward rate
url http://journal.frontiersin.org/Journal/10.3389/fnbeh.2015.00288/full
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