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Fitting an ex-Gaussian function to examine costs in event-based prospective memory: Evidence for a continuous monitoring profile
Event-based prospective memory (PM) tasks require individuals to remember to perform a deferred action when a target event occurs. PM task requirements can slow ongoing task responses on non-target trials (‘costs’) under conditions where the defining features of targets are non-focal to the ongoing...
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Published in: | Acta psychologica 2014-10, Vol.152, p.177-182 |
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description | Event-based prospective memory (PM) tasks require individuals to remember to perform a deferred action when a target event occurs. PM task requirements can slow ongoing task responses on non-target trials (‘costs’) under conditions where the defining features of targets are non-focal to the ongoing task, which is indicative that individuals have allocated some form of cognitive control process to the PM task. Recent fits of the ex-Gaussian mathematical function to non-target trial response distributions by prior studies have indicated that these control processes are transiently allocated. In the current paper, fits of the ex-Gaussian function to data reported by Loft and Humphreys (2012) demonstrate a shift in the entire response time distribution (μ) and an increase in skew (τ) for a non-focal PM condition required to remember to make a PM response if presented with category exemplars, compared to a control condition. This change in μ is indicative of a more continuous PM monitoring profile than that reported by prior studies. In addition, within–subject variability in μ was reliably correlated with PM accuracy, suggesting that these control processes allocated on a regular basis were functional to PM accuracy. In contrast, when the ongoing task directed attention to the defining features of targets (focal PM) there was a trend level increase in μ, but the within–subject variability in μ was not correlated with PM accuracy, consistent with the theoretical premise that focal PM tasks are not as dependent on cognitive control as non-focal PM tasks.
•Non-focal event-based prospective memory tasks slowed ongoing task responses.•We fitted the ex-Gaussian function to ongoing task response time distributions.•The shift in mu indicated prospective memory resources were regularly allocated.•The shift in tau indicated further resources were allocated on a subset of trials.•The shift in mu, but not tau, facilitated (correlated with) prospective memory. |
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•Non-focal event-based prospective memory tasks slowed ongoing task responses.•We fitted the ex-Gaussian function to ongoing task response time distributions.•The shift in mu indicated prospective memory resources were regularly allocated.•The shift in tau indicated further resources were allocated on a subset of trials.•The shift in mu, but not tau, facilitated (correlated with) prospective memory.</description><identifier>ISSN: 0001-6918</identifier><identifier>EISSN: 1873-6297</identifier><identifier>DOI: 10.1016/j.actpsy.2014.08.010</identifier><identifier>PMID: 25247678</identifier><identifier>CODEN: APSOAZ</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Attention - physiology ; Biological and medical sciences ; Decision Making - physiology ; Ex-Gaussian function ; Female ; Fundamental and applied biological sciences. Psychology ; Human ; Humans ; Judgment - physiology ; Learning & Memory ; Male ; Memory ; Memory, Episodic ; Normal Distribution ; Prospective memory ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Reaction Time - physiology ; Response costs ; Target focality ; Young Adult</subject><ispartof>Acta psychologica, 2014-10, Vol.152, p.177-182</ispartof><rights>2014 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-fe67cbfa2ce0b4d4ffc03f1ab8fc3a80706f267ef1447a2095b1e7dc188d5db93</citedby><cites>FETCH-LOGICAL-c425t-fe67cbfa2ce0b4d4ffc03f1ab8fc3a80706f267ef1447a2095b1e7dc188d5db93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0001691814001966$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3547,27922,27923,45778</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28848412$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25247678$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Loft, Shayne</creatorcontrib><creatorcontrib>Bowden, Vanessa K.</creatorcontrib><creatorcontrib>Ball, B. Hunter</creatorcontrib><creatorcontrib>Brewer, Gene A.</creatorcontrib><title>Fitting an ex-Gaussian function to examine costs in event-based prospective memory: Evidence for a continuous monitoring profile</title><title>Acta psychologica</title><addtitle>Acta Psychol (Amst)</addtitle><description>Event-based prospective memory (PM) tasks require individuals to remember to perform a deferred action when a target event occurs. PM task requirements can slow ongoing task responses on non-target trials (‘costs’) under conditions where the defining features of targets are non-focal to the ongoing task, which is indicative that individuals have allocated some form of cognitive control process to the PM task. Recent fits of the ex-Gaussian mathematical function to non-target trial response distributions by prior studies have indicated that these control processes are transiently allocated. In the current paper, fits of the ex-Gaussian function to data reported by Loft and Humphreys (2012) demonstrate a shift in the entire response time distribution (μ) and an increase in skew (τ) for a non-focal PM condition required to remember to make a PM response if presented with category exemplars, compared to a control condition. This change in μ is indicative of a more continuous PM monitoring profile than that reported by prior studies. In addition, within–subject variability in μ was reliably correlated with PM accuracy, suggesting that these control processes allocated on a regular basis were functional to PM accuracy. In contrast, when the ongoing task directed attention to the defining features of targets (focal PM) there was a trend level increase in μ, but the within–subject variability in μ was not correlated with PM accuracy, consistent with the theoretical premise that focal PM tasks are not as dependent on cognitive control as non-focal PM tasks.
•Non-focal event-based prospective memory tasks slowed ongoing task responses.•We fitted the ex-Gaussian function to ongoing task response time distributions.•The shift in mu indicated prospective memory resources were regularly allocated.•The shift in tau indicated further resources were allocated on a subset of trials.•The shift in mu, but not tau, facilitated (correlated with) prospective memory.</description><subject>Attention - physiology</subject><subject>Biological and medical sciences</subject><subject>Decision Making - physiology</subject><subject>Ex-Gaussian function</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Humans</subject><subject>Judgment - physiology</subject><subject>Learning & Memory</subject><subject>Male</subject><subject>Memory</subject><subject>Memory, Episodic</subject><subject>Normal Distribution</subject><subject>Prospective memory</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Reaction Time - physiology</subject><subject>Response costs</subject><subject>Target focality</subject><subject>Young Adult</subject><issn>0001-6918</issn><issn>1873-6297</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU-v1CAUxYnR-MbRb2AMGxM3rUApUBcm5uX9MXmJG10TSi-GSQsj0Imz86PLZEbdPVfAze9wTu5B6DUlLSVUvN-1xpZ9PraMUN4S1RJKnqANVbJrBBvkU7QhhNBGDFRdoRc57-qT04E-R1esZ1wKqTbo160vxYfv2AQMP5s7s-bs692twRYfAy6xzs3iA2Abc8nYV_AAoTSjyTDhfYp5D5U9AF5gien4Ad8c_ATBAnYxYVN1oVqscc14icGXmE6GVej8DC_RM2fmDK8u5xZ9u735en3fPHy5-3z96aGxnPWlcSCkHZ1hFsjIJ-6cJZ2jZlTOdkYRSYRjQoKjnEvDyNCPFORkqVJTP41Dt0Xvzv9W3x8r5KIXny3MswlQk2kqBj5I1tP-_2ivBCU9ZV1F-Rm1dQ05gdP75BeTjpoSfapJ7_S5Jn2qSROla01V9ubisI4LTH9Ff3qpwNsLYLI1s0smWJ__cUpxxWuALfp45qCu7uAh6Wz9afWTT7UUPUX_eJLfIaG1hg</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Loft, Shayne</creator><creator>Bowden, Vanessa K.</creator><creator>Ball, B. 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Hunter ; Brewer, Gene A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-fe67cbfa2ce0b4d4ffc03f1ab8fc3a80706f267ef1447a2095b1e7dc188d5db93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Attention - physiology</topic><topic>Biological and medical sciences</topic><topic>Decision Making - physiology</topic><topic>Ex-Gaussian function</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human</topic><topic>Humans</topic><topic>Judgment - physiology</topic><topic>Learning & Memory</topic><topic>Male</topic><topic>Memory</topic><topic>Memory, Episodic</topic><topic>Normal Distribution</topic><topic>Prospective memory</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Reaction Time - physiology</topic><topic>Response costs</topic><topic>Target focality</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Loft, Shayne</creatorcontrib><creatorcontrib>Bowden, Vanessa K.</creatorcontrib><creatorcontrib>Ball, B. Hunter</creatorcontrib><creatorcontrib>Brewer, Gene A.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><jtitle>Acta psychologica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Loft, Shayne</au><au>Bowden, Vanessa K.</au><au>Ball, B. Hunter</au><au>Brewer, Gene A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fitting an ex-Gaussian function to examine costs in event-based prospective memory: Evidence for a continuous monitoring profile</atitle><jtitle>Acta psychologica</jtitle><addtitle>Acta Psychol (Amst)</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>152</volume><spage>177</spage><epage>182</epage><pages>177-182</pages><issn>0001-6918</issn><eissn>1873-6297</eissn><coden>APSOAZ</coden><abstract>Event-based prospective memory (PM) tasks require individuals to remember to perform a deferred action when a target event occurs. PM task requirements can slow ongoing task responses on non-target trials (‘costs’) under conditions where the defining features of targets are non-focal to the ongoing task, which is indicative that individuals have allocated some form of cognitive control process to the PM task. Recent fits of the ex-Gaussian mathematical function to non-target trial response distributions by prior studies have indicated that these control processes are transiently allocated. In the current paper, fits of the ex-Gaussian function to data reported by Loft and Humphreys (2012) demonstrate a shift in the entire response time distribution (μ) and an increase in skew (τ) for a non-focal PM condition required to remember to make a PM response if presented with category exemplars, compared to a control condition. This change in μ is indicative of a more continuous PM monitoring profile than that reported by prior studies. In addition, within–subject variability in μ was reliably correlated with PM accuracy, suggesting that these control processes allocated on a regular basis were functional to PM accuracy. In contrast, when the ongoing task directed attention to the defining features of targets (focal PM) there was a trend level increase in μ, but the within–subject variability in μ was not correlated with PM accuracy, consistent with the theoretical premise that focal PM tasks are not as dependent on cognitive control as non-focal PM tasks.
•Non-focal event-based prospective memory tasks slowed ongoing task responses.•We fitted the ex-Gaussian function to ongoing task response time distributions.•The shift in mu indicated prospective memory resources were regularly allocated.•The shift in tau indicated further resources were allocated on a subset of trials.•The shift in mu, but not tau, facilitated (correlated with) prospective memory.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><pmid>25247678</pmid><doi>10.1016/j.actpsy.2014.08.010</doi><tpages>6</tpages></addata></record> |
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subjects | Attention - physiology Biological and medical sciences Decision Making - physiology Ex-Gaussian function Female Fundamental and applied biological sciences. Psychology Human Humans Judgment - physiology Learning & Memory Male Memory Memory, Episodic Normal Distribution Prospective memory Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Reaction Time - physiology Response costs Target focality Young Adult |
title | Fitting an ex-Gaussian function to examine costs in event-based prospective memory: Evidence for a continuous monitoring profile |
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