Evidence map›Paper›PMID 41123320›Full record

ArticleThe Journal of the Acoustical Society of America2025

Consequences of disrupted spatial perception with hearing aids for "cocktail party" listening.

Elin Roverud, Virginia Best

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Elin RoverudDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.
Virginia BestDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215, USA.ORCID 0000-0002-5535-5736

Funding

Spatial Hearing in Speech MixturesR01DC015760 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Virginia Ann Best · 2017 to 2026
$3.6M
NIDCD NIH HHS R01 DC015760
6 · The paper itself

Abstract

Individuals with hearing loss struggle with speech understanding in multitalker ("cocktail party") situations even while wearing hearing aids. Although hearing aids provide critical amplification, they also can disrupt the spatial perception of sounds. It is not known if these disruptions contribute to the speech-recognition difficulties of hearing-aid wearers. In this study, normally hearing participants were fitted with hearing aids and performed two tasks with and without the devices. In the first task, participants localized individual words presented through loudspeakers by placing a marker on a touchscreen interface; these responses were compared to the location of the presenting loudspeaker to calculate errors in azimuth and distance. In the second task, participants were presented with a mixture of five simultaneous talkers and identified the words spoken by one target talker, defined based on its spatial location. Relative to the unaided condition, hearing aids led to increased errors in azimuth and distance and lower speech-recognition scores, which were largely attributable to selecting the wrong talker. At the individual level, speech recognition was not associated with localization in unaided or aided conditions separately, however, changes in localization errors in azimuth were associated with changes in speech recognition with hearing aids.

Indexed as

Hearing AidsPerceptual MaskingPersons with Hearing DisabilitiesSound LocalizationSpace PerceptionSpeech PerceptionAcoustic StimulationAdultFemaleHumansMaleMiddle AgedNoiseYoung Adult

Identifiers

PMID41123320
PMCPMC12943194

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.