Is comprehension necessary for error detection? A conflict-based account of monitoring in speech production
Nozari, Nazbanou
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https://hdl.handle.net/2142/24331
Description
Title
Is comprehension necessary for error detection? A conflict-based account of monitoring in speech production
Author(s)
Nozari, Nazbanou
Issue Date
2011-05-25T14:51:32Z
Director of Research (if dissertation) or Advisor (if thesis)
Dell, Gary S.
Doctoral Committee Chair(s)
Dell, Gary S.
Committee Member(s)
Garnsey, Susan M.
Simons, Daniel J.
Coles, Michael G.H.
Bock, J. Kathryn
Department of Study
Psychology
Discipline
Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Speech errors
Speech monitoring
Domain-general mechanisms
Error detection
Abstract
Although speech is error-prone, verbal communication is successful because
speakers can detect (and correct) their errors. The standard theory of speech-error detection,
the perceptual-loop account, posits that the comprehension system monitors production
output for errors. Such a comprehension-based monitor, however, cannot explain the
double dissociation between comprehension and error-detection ability observed in the
aphasic patients. We propose a new theory of speech-error detection which is, instead, based
on the production process itself. The theory borrows from studies of forced-choiceresponse
tasks the notion that error detection is accomplished by monitoring response
conflict via a frontal brain structure, such as the anterior cingulate cortex. We implement this
idea in the two-step model of word production, and test the model-derived predictions on a
sample of aphasic patients. Our results show a strong correlation between patients’ error detection
ability and the model’s characterization of their production skills, and no
significant correlation between error detection and comprehension measures, thus
supporting a production-based monitor, generally, and the implemented conflict-based
monitor in particular. The successful application of the conflict-based theory to error detection
in linguistic, as well as non-linguistic domains points to a domain-general
monitoring system.
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