Evidence for conflict monitoring during speech recognition in noise
During difficult tasks, conflict can benefit performance on a subsequent trial. One theory for such performance adjustments is that people monitor for conflict and reactively engage cognitive control. This hypothesis has been challenged because tasks that control for associative learning do not show...
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Veröffentlicht in: | Psychonomic bulletin & review 2024-06, Vol.31 (3), p.1309-1322 |
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Sprache: | eng |
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Zusammenfassung: | During difficult tasks, conflict can benefit performance on a subsequent trial. One theory for such performance adjustments is that people monitor for conflict and reactively engage cognitive control. This hypothesis has been challenged because tasks that control for associative learning do not show such “cognitive control” effects. The current study experimentally controlled associative learning by presenting a novel stimulus on every trial of a picture–speech conflict task and found that performance adjustments still occur. Thirty-one healthy young adults listened to and repeated words presented in background noise while viewing pictures that were congruent or incongruent (i.e., phonological neighbors) with the word. Following conflict, participants had higher word recognition (+17% points) on incongruent but not congruent trials. This result was not attributable to posterror effects nor a speed–accuracy trade-off. An analysis of erroneous responses showed that participants made more phonologically related errors than nonrelated errors only on incongruent trials, demonstrating elevated phonological conflict when the picture was a neighbor of the target word. Additionally, postconflict improvements appear to be due to better resolution of phonological conflict in the mental lexicon rather than decreased attention to the picture or increased attention to the speech signal. Our findings provide new evidence for conflict monitoring and suggest that cognitive control helps resolve phonological conflict during speech recognition in noise. |
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ISSN: | 1069-9384 1531-5320 1531-5320 |
DOI: | 10.3758/s13423-023-02393-0 |