Evidence map›Paper›PMID 37796849›Full record

ArticlePerception2023

Learning emotional dialects: A British population study of cross-cultural communication.

Myron Tsikandilakis, Persefoni Bali, Renzo C Lanfranco, Leonie Kausel, Zhaoliang Yu, Gonzalo Boncompte, Alexandros-Konstantinos Karlis, Alkadi Alshammari, Ruiyi Li, Alison Milbank and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Perception, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

14 authors at 8 institutions in 8 countries.

Myron TsikandilakisUniversity of Nottingham, UK.ORCID 0000-0001-8829-7563
Persefoni BaliUniversity of Nottingham, UK.
Renzo C LanfrancoUniversity of Edinburgh, UK.ORCID 0000-0002-3107-0170
Leonie KauselUniversidad Diego Portales, Chile.
Zhaoliang YuWuhan University, China.ORCID 0000-0002-7302-229X
Gonzalo BoncomptePontificia Universidad Católica de Chile, Chile.
Alexandros-Konstantinos KarlisNational and Kapodistrian University of Athens, Greece.
Alkadi AlshammariKing Saud University, Saudi Arabia.
Ruiyi LiSungkyunkwan University, Korea.
Alison Milbank
Michael Burdett
Pierre-Alexis Mével
Christopher Madan
Jan DerrfussUniversity of Nottingham, UK.
University of Nottingham · GBKarolinska Institutet · SEKing Saud University · SANational and Kapodistrian University of Athens · GRNational University of Singapore · SGPontificia Universidad Católica de Chile · CLSungkyunkwan University · KRUniversidad Diego Portales · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the current research was to explore whether we can improve the recognition of cross-cultural freely-expressed emotional faces in British participants. We tested several methods for improving the recognition of freely-expressed emotional faces, such as different methods for presenting other-culture expressions of emotion from individuals from Chile, New Zealand and Singapore in two experimental stages. In the first experimental stage, in phase one, participants were asked to identify the emotion of cross-cultural freely-expressed faces. In the second phase, different cohorts were presented with interactive side-by-side, back-to-back and dynamic morphing of cross-cultural freely-expressed emotional faces, and control conditions. In the final phase, we repeated phase one using novel stimuli. We found that all non-control conditions led to recognition improvements. Morphing was the most effective condition for improving the recognition of cross-cultural emotional faces. In the second experimental stage, we presented morphing to different cohorts including own-to-other and other-to-own freely-expressed cross-cultural emotional faces and neutral-to-emotional and emotional-to-neutral other-culture freely-expressed emotional faces. All conditions led to recognition improvements and the presentation of freely-expressed own-to-other cultural-emotional faces provided the most effective learning. These findings suggest that training can improve the recognition of cross-cultural freely-expressed emotional expressions.

Indexed as

Cross-Cultural ComparisonEmotionsCommunicationFacial ExpressionHumansLanguageWhite Peopleculturedialectsemotionlearningmorphing

Identifiers

PMID37796849
PMCPMC10634218
OpenAlexW4387362935

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.