Evidence map›Paper›PMID 39533975›Full record

ArticleQuarterly journal of experimental psychology (2006)2024

Individual control of input rate improves recall of spoken discourse by adult users of cochlear implants: An exploratory study.

Ryan M O'Leary, Nicole Hope Capach, Thomas A Hansen, Alex J Kinney, Taylor A Payne, Arthur Wingfield, Mario A Svirsky

Abstract read
In one paragraph

Article in Quarterly journal of experimental psychology (2006), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ryan M O'LearyDepartment of Psychology, Brandeis University, Waltham, MA, USA.ORCID 0000-0003-1042-0466
Nicole Hope CapachDepartment of Otolaryngology-Head and Neck Surgery, NYU Langone Medical Center, New York, NY, USA.ORCID 0000-0001-7604-8375
Thomas A HansenDepartment of Psychology, Brandeis University, Waltham, MA, USA.ORCID 0000-0002-7950-8039
Alex J KinneyDepartment of Psychology, Brandeis University, Waltham, MA, USA.ORCID 0000-0003-2446-3133
Taylor A PayneDepartment of Otolaryngology-Head and Neck Surgery, NYU Langone Medical Center, New York, NY, USA.ORCID 0009-0006-0548-0412
Arthur WingfieldDepartment of Psychology, Brandeis University, Waltham, MA, USA.ORCID 0000-0003-3887-3483
Mario A SvirskyDepartment of Otolaryngology-Head and Neck Surgery, NYU Langone Medical Center, New York, NY, USA.ORCID 0000-0002-9238-0682

Funding

Cochlear implants and listening effort: the interaction of cognitive and sensory constraintsR01DC016834 · NIDCD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jonathan E Peelle, Mario A Svirsky · 2018 to 2026
$3.8M
NIDCD NIH HHS R01 DC016834
6 · The paper itself

Abstract

Although cochlear implants (CI) successfully replace the sense of hearing, they do not restore natural hearing. Still, CI users adapt to this novel signal, reaching meaningful levels of speech recognition in clinical tests that focus on repetition of words and short sentences. However, many patients who score above average in clinical speech perception tests complain that everyday speech interactions are both difficult and cognitively draining. In part, this difficulty may be due to the naturally rapid pace of everyday discourse. We report a study in which 12 CI users aged 23 to 77, recalled multi-sentence discourse presented without interruption, or in the condition of interest, when passages were paused at major linguistic boundaries, with participants given control of when to initiate the next segment. Comprehension of the discourse structure was based on a formalised representational system that organises discourse elements hierarchically to index the relative importance of different elements to the overall understanding of the discourse. Results showed (a) better recall when CI users were allowed to control the discourse pace; (b) an overall effect of aging, with older CI users recalling discourse less accurately; (c) better recall for passages with higher average inter-word predictability; (d) a "semantic hierarchy effect" reflected by better recall of main ideas versus minor details; (e) an attenuation of the semantic hierarchy effect for low predictability passages. Results underscore the benefits of extra processing time in addressing CI listening challenges and highlight the limited ecological validity of single-word or single-sentence speech recognition tests.

Indexed as

Cochlear implantsdiscoursememorypredictabilityprocessing time

Identifiers

PMID39533975
PMCPMC12412460

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.