Journal article 1107 views
Decision noise: An explanation for observed violations of signal detection theory
Psychonomic Bulletin & Review, Volume: 15, Issue: 3, Pages: 465 - 494
Swansea University Author: Christoph Weidemann
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DOI (Published version): 10.3758/PBR.15.3.465
Abstract
In signal detection theory (SDT), responses are governed by perceptual noise and a flexible decision criterion. Recent criticisms of SDT (see, e.g., Balakrishnan, 1999) have identified violations of its assumptions, and researchers have suggested that SDT fundamentally misrepresents perceptual and d...
Published in: | Psychonomic Bulletin & Review |
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ISSN: | 1069-9384 1531-5320 |
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2008
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URI: | https://cronfa.swan.ac.uk/Record/cronfa6929 |
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<?xml version="1.0"?><rfc1807><datestamp>2019-06-12T14:51:02.7288247</datestamp><bib-version>v2</bib-version><id>6929</id><entry>2012-01-28</entry><title>Decision noise: An explanation for observed violations of signal detection theory</title><swanseaauthors><author><sid>b155eeefe08155214e70fea25649223c</sid><firstname>Christoph</firstname><surname>Weidemann</surname><name>Christoph Weidemann</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2012-01-28</date><deptcode>FGMHL</deptcode><abstract>In signal detection theory (SDT), responses are governed by perceptual noise and a flexible decision criterion. Recent criticisms of SDT (see, e.g., Balakrishnan, 1999) have identified violations of its assumptions, and researchers have suggested that SDT fundamentally misrepresents perceptual and decision processes. We hypothesize that, instead, these violations of SDT stem from decision noise: the inability to use deterministic response criteria. In order to investigate this hypothesis, we present a simple extension of SDT—the decision noise model—with which we demonstrate that shifts in a decision criterion can be masked by decision noise. In addition, we propose a new statistic that can help identify whether the violations of SDT stem from perceptual or from decision processes. The results of a stimulus classification experiment—together with model fits to past experiments—show that decision noise substantially affects performance. These findings suggest that decision noise is important across a wide range of tasks and needs to be better understood in order to accurately measure perceptual processes.</abstract><type>Journal Article</type><journal>Psychonomic Bulletin & Review</journal><volume>15</volume><journalNumber>3</journalNumber><paginationStart>465</paginationStart><paginationEnd>494</paginationEnd><publisher/><issnPrint>1069-9384</issnPrint><issnElectronic>1531-5320</issnElectronic><keywords/><publishedDay>30</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2008</publishedYear><publishedDate>2008-06-30</publishedDate><doi>10.3758/PBR.15.3.465</doi><url>http://cogsci.info/papers/MuellerWeidemann2008.pdf</url><notes/><college>COLLEGE NANME</college><department>Medicine, Health and Life Science - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGMHL</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2019-06-12T14:51:02.7288247</lastEdited><Created>2012-01-28T20:23:39.6900000</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">School of Psychology</level></path><authors><author><firstname>S. T</firstname><surname>MUELLER</surname><order>1</order></author><author><firstname>C. T</firstname><surname>WEIDEMANN</surname><order>2</order></author><author><firstname>Christoph</firstname><surname>Weidemann</surname><order>3</order></author></authors><documents/><OutputDurs/></rfc1807> |
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2019-06-12T14:51:02.7288247 v2 6929 2012-01-28 Decision noise: An explanation for observed violations of signal detection theory b155eeefe08155214e70fea25649223c Christoph Weidemann Christoph Weidemann true false 2012-01-28 FGMHL In signal detection theory (SDT), responses are governed by perceptual noise and a flexible decision criterion. Recent criticisms of SDT (see, e.g., Balakrishnan, 1999) have identified violations of its assumptions, and researchers have suggested that SDT fundamentally misrepresents perceptual and decision processes. We hypothesize that, instead, these violations of SDT stem from decision noise: the inability to use deterministic response criteria. In order to investigate this hypothesis, we present a simple extension of SDT—the decision noise model—with which we demonstrate that shifts in a decision criterion can be masked by decision noise. In addition, we propose a new statistic that can help identify whether the violations of SDT stem from perceptual or from decision processes. The results of a stimulus classification experiment—together with model fits to past experiments—show that decision noise substantially affects performance. These findings suggest that decision noise is important across a wide range of tasks and needs to be better understood in order to accurately measure perceptual processes. Journal Article Psychonomic Bulletin & Review 15 3 465 494 1069-9384 1531-5320 30 6 2008 2008-06-30 10.3758/PBR.15.3.465 http://cogsci.info/papers/MuellerWeidemann2008.pdf COLLEGE NANME Medicine, Health and Life Science - Faculty COLLEGE CODE FGMHL Swansea University 2019-06-12T14:51:02.7288247 2012-01-28T20:23:39.6900000 Faculty of Medicine, Health and Life Sciences School of Psychology S. T MUELLER 1 C. T WEIDEMANN 2 Christoph Weidemann 3 |
title |
Decision noise: An explanation for observed violations of signal detection theory |
spellingShingle |
Decision noise: An explanation for observed violations of signal detection theory Christoph Weidemann |
title_short |
Decision noise: An explanation for observed violations of signal detection theory |
title_full |
Decision noise: An explanation for observed violations of signal detection theory |
title_fullStr |
Decision noise: An explanation for observed violations of signal detection theory |
title_full_unstemmed |
Decision noise: An explanation for observed violations of signal detection theory |
title_sort |
Decision noise: An explanation for observed violations of signal detection theory |
author_id_str_mv |
b155eeefe08155214e70fea25649223c |
author_id_fullname_str_mv |
b155eeefe08155214e70fea25649223c_***_Christoph Weidemann |
author |
Christoph Weidemann |
author2 |
S. T MUELLER C. T WEIDEMANN Christoph Weidemann |
format |
Journal article |
container_title |
Psychonomic Bulletin & Review |
container_volume |
15 |
container_issue |
3 |
container_start_page |
465 |
publishDate |
2008 |
institution |
Swansea University |
issn |
1069-9384 1531-5320 |
doi_str_mv |
10.3758/PBR.15.3.465 |
college_str |
Faculty of Medicine, Health and Life Sciences |
hierarchytype |
|
hierarchy_top_id |
facultyofmedicinehealthandlifesciences |
hierarchy_top_title |
Faculty of Medicine, Health and Life Sciences |
hierarchy_parent_id |
facultyofmedicinehealthandlifesciences |
hierarchy_parent_title |
Faculty of Medicine, Health and Life Sciences |
department_str |
School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology |
url |
http://cogsci.info/papers/MuellerWeidemann2008.pdf |
document_store_str |
0 |
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0 |
description |
In signal detection theory (SDT), responses are governed by perceptual noise and a flexible decision criterion. Recent criticisms of SDT (see, e.g., Balakrishnan, 1999) have identified violations of its assumptions, and researchers have suggested that SDT fundamentally misrepresents perceptual and decision processes. We hypothesize that, instead, these violations of SDT stem from decision noise: the inability to use deterministic response criteria. In order to investigate this hypothesis, we present a simple extension of SDT—the decision noise model—with which we demonstrate that shifts in a decision criterion can be masked by decision noise. In addition, we propose a new statistic that can help identify whether the violations of SDT stem from perceptual or from decision processes. The results of a stimulus classification experiment—together with model fits to past experiments—show that decision noise substantially affects performance. These findings suggest that decision noise is important across a wide range of tasks and needs to be better understood in order to accurately measure perceptual processes. |
published_date |
2008-06-30T03:08:33Z |
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1763749830465683456 |
score |
11.021648 |