Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choice

The history of judgment and decision making is defined by a trend toward increasingly nuanced explanations of the decision making process. Recently, process models have become incredibly sophisticated, yet the tools available to directly test these models have not kept pace. These increasingly compl...

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Main Authors: Gregory J. Koop, Joseph G. Johnson
Format: Article
Language:English
Published: Society for Judgment and Decision Making 2011-12-01
Series:Judgment and Decision Making
Subjects:
Online Access:http://journal.sjdm.org/11/m29/m29.pdf
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spelling doaj-b5a5c041cf114de6ad1e9871bef7f2182021-05-02T09:11:44ZengSociety for Judgment and Decision MakingJudgment and Decision Making1930-29752011-12-0168750758Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choiceGregory J. KoopJoseph G. JohnsonThe history of judgment and decision making is defined by a trend toward increasingly nuanced explanations of the decision making process. Recently, process models have become incredibly sophisticated, yet the tools available to directly test these models have not kept pace. These increasingly complex process models require increasingly complex process data by which they can be adequately tested. We propose a new class of data collection that will facilitate evaluation of sophisticated process models. Tracking mouse paths during a continuous response provides an implicit measure of the growth of preference that produces a choice---rather than the current practice of recording just the button press that indicates that choice itself. Recent research in cognitive science (Spivey and Dale, 2006) has shown that cognitive processing can be revealed in these dynamic motor responses. Unlike current process methodologies, these response dynamics studies can demonstrate continuous competition between choice options and even online preference reversals. Here, in order to demonstrate the mechanics and utility of the methodology, we present an example response dynamics experiment utilizing a common multi-alternative decision task.http://journal.sjdm.org/11/m29/m29.pdfdecision makingmethodologyprocess modelsresponse dynamicsmetrics.NAKeywords
collection DOAJ
language English
format Article
sources DOAJ
author Gregory J. Koop
Joseph G. Johnson
spellingShingle Gregory J. Koop
Joseph G. Johnson
Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choice
Judgment and Decision Making
decision making
methodology
process models
response dynamics
metrics.NAKeywords
author_facet Gregory J. Koop
Joseph G. Johnson
author_sort Gregory J. Koop
title Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choice
title_short Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choice
title_full Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choice
title_fullStr Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choice
title_full_unstemmed Continuous process tracing and the Iowa Gambling Task: Extending response dynamics to multialternative choice
title_sort continuous process tracing and the iowa gambling task: extending response dynamics to multialternative choice
publisher Society for Judgment and Decision Making
series Judgment and Decision Making
issn 1930-2975
publishDate 2011-12-01
description The history of judgment and decision making is defined by a trend toward increasingly nuanced explanations of the decision making process. Recently, process models have become incredibly sophisticated, yet the tools available to directly test these models have not kept pace. These increasingly complex process models require increasingly complex process data by which they can be adequately tested. We propose a new class of data collection that will facilitate evaluation of sophisticated process models. Tracking mouse paths during a continuous response provides an implicit measure of the growth of preference that produces a choice---rather than the current practice of recording just the button press that indicates that choice itself. Recent research in cognitive science (Spivey and Dale, 2006) has shown that cognitive processing can be revealed in these dynamic motor responses. Unlike current process methodologies, these response dynamics studies can demonstrate continuous competition between choice options and even online preference reversals. Here, in order to demonstrate the mechanics and utility of the methodology, we present an example response dynamics experiment utilizing a common multi-alternative decision task.
topic decision making
methodology
process models
response dynamics
metrics.NAKeywords
url http://journal.sjdm.org/11/m29/m29.pdf
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