Evidence map›Paper›PMID 27580272›Full record

ArticleeLife2016

Individual differences in selective attention predict speech identification at a cocktail party.

Daniel Oberfeld, Felicitas Klöckner-Nowotny

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Reduced neural speech tracking in adolescents with listening difficulty.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
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  13. Simultaneous relative cue reliance in speech-on-speech masking.The Journal of the Acoustical Society of America · 2023
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  14. Article
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  18. Molecular analysis of individual differences in talker search at the cocktail-party.The Journal of the Acoustical Society of America · 2022
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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.

Daniel OberfeldDepartment of Psychology, Section Experimental Psychology, Johannes Gutenberg-Universität, Mainz, Germany.ORCID 0000-0002-6710-3309
Felicitas Klöckner-NowotnyDepartment of Psychology, Section Experimental Psychology, Johannes Gutenberg-Universität, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Listeners with normal hearing show considerable individual differences in speech understanding when competing speakers are present, as in a crowded restaurant. Here, we show that one source of this variance are individual differences in the ability to focus selective attention on a target stimulus in the presence of distractors. In 50 young normal-hearing listeners, the performance in tasks measuring auditory and visual selective attention was associated with sentence identification in the presence of spatially separated competing speakers. Together, the measures of selective attention explained a similar proportion of variance as the binaural sensitivity for the acoustic temporal fine structure. Working memory span, age, and audiometric thresholds showed no significant association with speech understanding. These results suggest that a reduced ability to focus attention on a target is one reason why some listeners with normal hearing sensitivity have difficulty communicating in situations with background noise.

Indexed as

AttentionIndividualityNoiseSpeechAdultFemaleHumansMaleYoung Adultauditory selective attentionhumanindividual differencesneurosciencespeech-in-noise identificationtemporal fine structure sensitivityvisual attentionworking memory

Identifiers

PMID27580272
PMCPMC5441891

What OpenQuestion holds

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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.