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Performance monitoring in speaking: Defense of a comprehension-based account

Speakers occasionally make speech errors, which may be detected and corrected. Disagreement exists about how performance monitoring is achieved. According to a comprehension-based account (e.g., Levelt, Roelofs, & Meyer, 1999), speakers detect errors by listening to themselves and comparing production and comprehension representations. Errors can be detected in inner and in overt speech. According to a production-based account (Nozari, Dell, & Schwartz, 2011), error detection is based on the amount of conflict within the speech production system, taken to be assessed by anterior cingulate cortex (ACC; Yeung, Botvinick, & Cohen, 2004). For both accounts, supporting evidence as well as empirical challenges exist. For example, the comprehension-based account is taken to be challenged by gaze patterns and double dissociations between comprehension and error-detection abilities in aphasic patients and the production-based account is challenged by evidence against ACC conflict monitoring. In this talk, I will first discuss these and other relevant findings. Next, I will report the results from computer simulations suggesting that the comprehension-based account is not really challenged by the gaze patterns and double dissociations in aphasia. I will conclude that a comprehension-based theory provides a viable account of performance monitoring in speaking.

Last checked 2016-12-24 by Zeshu Shao

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