Evidence map›Paper›PMID 36690438›Full record

ArticleBritish journal of psychology (London, England : 1953)2023

The effects of the presence of a face and direct eye gaze on voice identity learning.

Nadine Lavan, Nisha Ramanik Bamaniya, Moha-Maryam Muse, Raffaella Lucy Monica Price, Isabelle Mareschal

Open access · hybridAbstract read
In one paragraph

Article in British journal of psychology (London, England : 1953), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Face and voice identity matching accuracy is not improved by multimodal identity information.British journal of psychology (London, England : 1953) · 2025
    Article
  2. Article
  3. Article
  4. The effects of the presence of a face and direct eye gaze on voice identity learning.British journal of psychology (London, England : 1953) · 2023
    Article
  5. 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

5 authors at 1 institution in 1 country.

Nadine LavanDepartment of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0001-7569-0817
Nisha Ramanik BamaniyaDepartment of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
Moha-Maryam MuseDepartment of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
Raffaella Lucy Monica PriceDepartment of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
Isabelle MareschalDepartment of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
Queen Mary University of London · GB

Funding

Wellcome TrustWellcome Trust 220448/Z/20/Z
6 · The paper itself

Abstract

We rarely become familiar with the voice of another person in isolation but usually also have access to visual identity information, thus learning to recognize their voice and face in parallel. There are conflicting findings as to whether learning to recognize voices in audiovisual vs audio-only settings is advantageous or detrimental to learning. One prominent finding shows that the presence of a face overshadows the voice, hindering voice identity learning by capturing listeners' attention (Face Overshadowing Effect; FOE). In the current study, we tested the proposal that the effect of audiovisual training on voice identity learning is driven by attentional processes. Participants learned to recognize voices through either audio-only training (Audio-Only) or through three versions of audiovisual training, where a face was presented alongside the voices. During audiovisual training, the faces were either looking at the camera (Direct Gaze), were looking to the side (Averted Gaze) or had closed eyes (No Gaze). We found a graded effect of gaze on voice identity learning: Voice identity recognition was most accurate after audio-only training and least accurate after audiovisual training including direct gaze, constituting a FOE. While effect sizes were overall small, the magnitude of FOE was halved for the Averted and No Gaze conditions. With direct gaze being associated with increased attention capture compared to averted or no gaze, the current findings suggest that incidental attention capture at least partially underpins the FOE. We discuss these findings in light of visual dominance effects and the relative informativeness of faces vs voices for identity perception.

Indexed as

Fixation, OcularVoiceAttentionFaceHumansLearningautomatic attention capturedirect gazeface overshadowing effectvoice identity

Identifiers

PMID36690438
PMCPMC10952776
OpenAlexW4317869067

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.