How to measure post-error slowing: The case of pre-error speeding

Abstract Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response time...
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Autor*in:	Pfister, Roland [verfasserIn] Foerster, Anna

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Post-error slowing Pre-error speeding Performance monitoring Response-time analysis

Anmerkung:	© The Author(s) 2021

Übergeordnetes Werk:	Enthalten in: Behavior research methods, instruments & computers - Austin, Tex. : Psychonomic Society Publ., 1984, 54(2021), 1 vom: 08. Juli, Seite 435-443
Übergeordnetes Werk:	volume:54 ; year:2021 ; number:1 ; day:08 ; month:07 ; pages:435-443

Links:	Volltext

DOI / URN:	10.3758/s13428-021-01631-4

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spelling	10.3758/s13428-021-01631-4 doi (DE-627)SPR04631332X (SPR)s13428-021-01631-4-e DE-627 ger DE-627 rakwb eng Pfister, Roland verfasserin (orcid)0000-0002-4429-1052 aut How to measure post-error slowing: The case of pre-error speeding 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing. Post-error slowing (dpeaa)DE-He213 Pre-error speeding (dpeaa)DE-He213 Performance monitoring (dpeaa)DE-He213 Response-time analysis (dpeaa)DE-He213 Foerster, Anna aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 54(2021), 1 vom: 08. Juli, Seite 435-443 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:54 year:2021 number:1 day:08 month:07 pages:435-443 https://dx.doi.org/10.3758/s13428-021-01631-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 AR 54 2021 1 08 07 435-443
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author	Pfister, Roland
spellingShingle	Pfister, Roland misc Post-error slowing misc Pre-error speeding misc Performance monitoring misc Response-time analysis How to measure post-error slowing: The case of pre-error speeding
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topic_title	How to measure post-error slowing: The case of pre-error speeding Post-error slowing (dpeaa)DE-He213 Pre-error speeding (dpeaa)DE-He213 Performance monitoring (dpeaa)DE-He213 Response-time analysis (dpeaa)DE-He213
topic	misc Post-error slowing misc Pre-error speeding misc Performance monitoring misc Response-time analysis
topic_unstemmed	misc Post-error slowing misc Pre-error speeding misc Performance monitoring misc Response-time analysis
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title	How to measure post-error slowing: The case of pre-error speeding
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title_full	How to measure post-error slowing: The case of pre-error speeding
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title_sort	how to measure post-error slowing: the case of pre-error speeding
title_auth	How to measure post-error slowing: The case of pre-error speeding
abstract	Abstract Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing. © The Author(s) 2021
abstractGer	Abstract Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing. © The Author(s) 2021
abstract_unstemmed	Abstract Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing. © The Author(s) 2021
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title_short	How to measure post-error slowing: The case of pre-error speeding
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