Effects of temporal order and intentionality on reflective attention to words in noise

Speech perception in noise is a cognitively demanding process that challenges not only the auditory sensory system, but also cognitive networks involved in attention. The predictive coding theory has been influential in characterizing the influence of prior context on processing incoming auditory st...

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Bibliographic Details
Published in:Psychological research 2022-03, Vol.86 (2), p.544-557
Main Authors: Chan, T. M. Vanessa, Buchsbaum, Bradley R., Alain, Claude
Format: Article
Language:English
Subjects:
Auditory stimuli
Behavioral Science and Psychology
Cognitive ability
Humans
Information processing
Memory, Short-Term
Noise
Original Article
Psychology
Psychology Research
Semantics
Short term memory
Speech
Speech Perception
Speech recognition
Temporal variations
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Summary:Speech perception in noise is a cognitively demanding process that challenges not only the auditory sensory system, but also cognitive networks involved in attention. The predictive coding theory has been influential in characterizing the influence of prior context on processing incoming auditory stimuli, with comparatively less research dedicated to “postdictive” processes and subsequent context effects on speech perception. Effects of subsequent semantic context were evaluated while manipulating the relationship of three target words presented in noise and the temporal position of targets compared to the subsequent contextual cue, demonstrating that subsequent context benefits were present regardless of whether the targets were related to each other and did not depend on the position of the target. However, participants instructed to focus on the relation between target and cue performed worse than those who did not receive this instruction, suggesting a disruption of a natural process of continuous speech recognition. We discuss these findings in relation to lexical commitment and stimulus-driven attention to short-term memory as mechanisms of subsequent context integration.
ISSN:0340-0727
1430-2772
DOI:10.1007/s00426-021-01494-6