Dividing attention influences contextual facilitation and revision during language comprehension
Open accessAbstract
Although we often seem to successfully comprehend language in the face of distraction, few studies have examined the role of sustained attention in critical components of sentence processing, such as integrating information over a sentence and revising predictions when unexpected information is encountered. The current study investigated the impact of attention on sentence processing using a novel dual-task paradigm. Participants read weakly and strongly constraining sentences with expected or unexpected endings while also tracking the motion of dots in the background, and their EEG was recorded. Under full attention, the amplitude of the N400 component of the ERP, a measure of semantic access, was reduced (facilitated) in a graded fashion by contextual strength and fit. This context-based facilitation was attenuated when attention was divided, suggesting that sustained attention is important for building up message-level representations. In contrast, the post-N400 frontal positivity that has been observed to prediction violations and associated with revision processes was unaffected by dividing attention. However, under divided attention, participants also elicited posteriorly-distributed effects to these violations. Thus, predictive processes seem to be engaged even when attention is divided, but additional resources may then be required to process unexpected information.
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Speech comprehension requires attention, particularly for higher-level processes such as syntactic integration and reanalysis and drawing inferences.
“Similarly, many studies have shown that speech comprehension requires attention. This holds in particular for higher-level processes, such as syntactic integration and reanalysis and drawing inferences”
From Timing in Conversation (2023) · cites this paper as Hubbard & Federmeier, 2021
The Introduction (Effects of Attention on Sentence Processing; page unavailable) says sustained attention may be particularly important for constructing sentence meaning, and the Discussion (page unavailable) reports that dividing attention impairs integrative mechanisms. The study used sentence reading, however, and these passages do not establish the claim’s specific examples of syntactic integration and reanalysis or drawing inferences during speech comprehension. (LLM, conf=0.85)
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- Authors
- Hubbard, R. J., & Federmeier, K. D.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Hubbard, Ryan J.
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 1764
- Pages
- 147466
- ISSN
- 0006-8993 (ISSN-L)
- PMC
- PMC8491584
- OpenAlex
- W3153813091
- Cited by
- 35
- References
- 115
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 7 · 2023: 9 · 2022: 2 · 2021: 1
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG026308)
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
- Keywords
- divided attention, sentence processing, contextual facilitation, N400, semantic access, prediction violation, frontal positivity, dual-task paradigm, sustained attention, language comprehension
- MeSH terms
- Adolescent, Adult, Attention, Electroencephalography, Evoked Potentials, Female, Frontal Lobe, Humans, Language, Male, Psychomotor Performance, Reaction Time, Comprehension, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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