Evidence map›Paper›PMID 39282266›Full record

ArticlebioRxiv : the preprint server for biology2024

DIFFERENTIAL CONTRIBUTIONS OF THE SPECTRO-TEMPORAL AND VOCAL CHARACTERISTICS OF AUDITORY PSEUDOWORDS TO MULTIPLE SOUND-SYMBOLIC MAPPINGS.

Simon Lacey, Kaitlyn L Matthews, A M Hoffmann, K Sathian, Lynne C Nygaard

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 authors.

Simon LaceyDepartment of Neurology, Penn State Health Milton S. Hershey Medical Center & Penn State College of Medicine, Hershey, PA 17033, USA.
Kaitlyn L MatthewsDepartment of Psychology Emory University, Atlanta, GA 30322, USA.
A M HoffmannDepartment of Psychology Emory University, Atlanta, GA 30322, USA.
K SathianDepartment of Neurology, Penn State Health Milton S. Hershey Medical Center & Penn State College of Medicine, Hershey, PA 17033, USA.
Lynne C NygaardDepartment of Psychology Emory University, Atlanta, GA 30322, USA.

Funding

Crossmodal Correspondences Between Visual and Auditory FeaturesR01EY025978 · NEI · EMORY UNIVERSITY · PI DESHPANDE, GOPIKRISHNA, NYGAARD, LYNNE C · 2015 to 2017
$1.8M
NEI NIH HHS R01 EY025978
6 · The paper itself

Abstract

Sound symbolism, the idea that the sound of a word alone can convey its meaning, is often studied using auditory pseudowords. For example, people reliably assign the auditory pseudowords "bouba" and "kiki" to rounded and pointed shapes, respectively. Previously we showed that representational dissimilarity matrices (RDMs) of the shape ratings of auditory pseudowords correlated significantly with RDMs of acoustic parameters reflecting spectro-temporal variations; the ratings also correlated significantly with voice quality features. Here, participants rated auditory pseudowords on scales representing categorical opposites across seven meaning domains, including shape. Examination of the relationships of the perceptual ratings to spectro-temporal and vocal parameters of the pseudowords essentially replicated our previous findings for shape while varying patterns emerged for the other domains. Thus, the spectro-temporal and vocal properties of spoken pseudowords contribute differentially to sound-symbolic mapping depending on the meaning domain.

Indexed as

AcousticLanguageMultisensoryRepresentational similarity analysisSound symbolism

Identifiers

PMID39282266
PMCPMC11398405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.