Evidence map›Paper›PMID 34124922›Full record

ArticlePsychology and aging2021

Audiovisual speech is more than the sum of its parts: Auditory-visual superadditivity compensates for age-related declines in audible and lipread speech intelligibility.

James W Dias, Carolyn M McClaskey, Kelly C Harris

Open access · hybridAbstract read
In one paragraph

Article in Psychology and aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Audiovisual integration facilitates age-related perceptual decision making.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  5. Integration of audiovisual speech perception: From infancy to older adults.The Journal of the Acoustical Society of America · 2025
    Article
  6. Review
  7. Article
  8. Article
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

3 authors.

James W DiasDepartment of Otolaryngology-Head and Neck Surgery.ORCID 0000-0001-7097-2911
Carolyn M McClaskeyDepartment of Otolaryngology-Head and Neck Surgery.ORCID 0000-0002-0942-6281
Kelly C HarrisDepartment of Otolaryngology-Head and Neck Surgery.ORCID 0000-0001-8486-1219

Funding

SPEECH UNDERSTANDING IN REALISTIC ENVIRONMENTSP50DC000422 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DUBNO, JUDY R · 1989 to 2025
$45.3M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Interdisciplinary Research Training in Otolaryngology and Communication SciencesT32DC014435 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DUBNO, JUDY R · 2015 to 2024
$2.9M
Neural determinates of cortical plasticity with age and hearing lossR01DC017619 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HARRIS, KELLY C · 2018 to 2022
$2.0M
Neural determinents of sound encoding in the aging ear and brainR01DC014467 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HARRIS, KELLY C · 2015 to 2019
$1.9M
RENOVATION TO SUPPORT SENSORY NEUROSCIENCE RESEARCHC06RR014516 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND, JOHN R · 1999 to 1999
–
NCATS NIH HHS UL1 TR001450NCRR NIH HHS C06 RR014516NIDCD NIH HHS P50 DC000422NIDCD NIH HHS R01 DC014467NIDCD NIH HHS R01 DC017619NIDCD NIH HHS T32 DC014435
6 · The paper itself

Abstract

Multisensory input can improve perception of ambiguous unisensory information. For example, speech heard in noise can be more accurately identified when listeners see a speaker's articulating face. Importantly, these multisensory effects can be superadditive to listeners' ability to process unisensory speech, such that audiovisual speech identification is better than the sum of auditory-only and visual-only speech identification. Age-related declines in auditory and visual speech perception have been hypothesized to be concomitant with stronger cross-sensory influences on audiovisual speech identification, but little evidence exists to support this. Currently, studies do not account for the multisensory superadditive benefit of auditory-visual input in their metrics of the auditory or visual influence on audiovisual speech perception. Here we treat multisensory superadditivity as independent from unisensory auditory and visual processing. In the current investigation, older and younger adults identified auditory, visual, and audiovisual speech in noisy listening conditions. Performance across these conditions was used to compute conventional metrics of the auditory and visual influence on audiovisual speech identification and a metric of auditory-visual superadditivity. Consistent with past work, auditory and visual speech identification declined with age, audiovisual speech identification was preserved, and no age-related differences in the auditory or visual influence on audiovisual speech identification were observed. However, we found that auditory-visual superadditivity improved with age. The novel findings suggest that multisensory superadditivity is independent of unisensory processing. As auditory and visual speech identification decline with age, compensatory changes in multisensory superadditivity may preserve audiovisual speech identification in older adults. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Indexed as

AdultAgedAgingAuditory PerceptionFemaleHumansMaleMiddle AgedSpeech IntelligibilitySpeech PerceptionVisual PerceptionYoung Adult

Identifiers

PMID34124922
PMCPMC8427734
OpenAlexW3166153335

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.