Modeling Performance at the Trial Level Within a Diffusion Framework: A Simple yet Powerful Method for Increasing Efficiency via Error Detection and Correction.
When faced with a relatively novel task, it is reasonable to assume that increases in performance efficiency depend upon processing adjustments that occur in response to errant or suboptimal performance. For such dynamic corrections to occur, the errors must first be noted, which can be challenging...
| Published in: | Canadian Journal of Experimental Psychology Vol. 63; no. 2; pp. 81 - 94 |
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| Main Authors: | , , |
| Format: | Article |
| Published: |
Canadian Psychological Association
June 2009
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510812270&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510812270 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 11961961 CJX jtl: Canadian Journal of Experimental Psychology issn: 11961961 maglogo: N pubinfo: dt: June 2009 vid: 63 iid: 2 pid: 98 pub: Canadian Psychological Association artinfo: ui: 510812270 10.1037/a0015385 ppf: 81 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 4.8MB tig: atl: Modeling Performance at the Trial Level Within a Diffusion Framework: A Simple yet Powerful Method for Increasing Efficiency via Error Detection and Correction. aug: au: Joordens, Steve Piercey, C. Darren Azarbehi, Rostam su: Choice (Psychology) Errors sug: subj: Choice (Psychology) Errors ab: When faced with a relatively novel task, it is reasonable to assume that increases in performance efficiency depend upon processing adjustments that occur in response to errant or suboptimal performance. For such dynamic corrections to occur, the errors must first be noted, which can be challenging in contexts where no external feedback is provided. In the present article, the authors describe how a “double cross” error monitoring and correction process can be added to diffusion models of binary decision. The authors first outline the logick of our proposed error detection system, and then demonstrate that the addition of this double-cross process in the context of a simulation of lexical decision leads to more efficient responding. That is, with such a mechanism in place, the model was able to gradually respond more quickly and the distribution of errors became more consistent with human response patterns. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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