Evidence map›Paper›PMID 37253770›Full record

ArticleScientific reports2023

A 5-emotions stimuli set for emotion perception research with full-body dance movements.

Julia F Christensen, Laura Bruhn, Eva-Madeleine Schmidt, Nasimeh Bahmanian, Sina H N Yazdi, Fahima Farahi, Luisa Sancho-Escanero, Winfried Menninghaus

Abstract read
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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Julia F ChristensenDepartment of Language and Literature, Max-Planck-Institute for Empirical Aesthetics, Frankfurt/M, Germany. Julia.christensen@ae.mpg.de.
Laura BruhnDepartment of Language and Literature, Max-Planck-Institute for Empirical Aesthetics, Frankfurt/M, Germany.
Eva-Madeleine SchmidtDepartment of Language and Literature, Max-Planck-Institute for Empirical Aesthetics, Frankfurt/M, Germany.
Nasimeh BahmanianDepartment of Language and Literature, Max-Planck-Institute for Empirical Aesthetics, Frankfurt/M, Germany.
Sina H N Yazdi3Fish Corporate Filmmaking, Istanbul, Turkey.
Fahima Farahi3Fish Corporate Filmmaking, Istanbul, Turkey.
Luisa Sancho-EscaneroPfalztheater Kaiserslautern Dance Company, Kaiserslautern, Germany.
Winfried MenninghausDepartment of Language and Literature, Max-Planck-Institute for Empirical Aesthetics, Frankfurt/M, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ekman famously contended that there are different channels of emotional expression (face, voice, body), and that emotion recognition ability confers an adaptive advantage to the individual. Yet, still today, much emotion perception research is focussed on emotion recognition from the face, and few validated emotionally expressive full-body stimuli sets are available. Based on research on emotional speech perception, we created a new, highly controlled full-body stimuli set. We used the same-sequence approach, and not emotional actions (e.g., jumping of joy, recoiling in fear): One professional dancer danced 30 sequences of (dance) movements five times each, expressing joy, anger, fear, sadness or a neutral state, one at each repetition. We outline the creation of a total of 150, 6-s-long such video stimuli, that show the dancer as a white silhouette on a black background. Ratings from 90 participants (emotion recognition, aesthetic judgment) showed that intended emotion was recognized above chance (chance: 20%; joy: 45%, anger: 48%, fear: 37%, sadness: 50%, neutral state: 51%), and that aesthetic judgment was sensitive to the intended emotion (beauty ratings: joy > anger > fear > neutral state, and sad > fear > neutral state). The stimuli set, normative values and code are available for download.

Indexed as

DancingSpeech PerceptionAngerEmotionsFacial ExpressionFearHumans

Identifiers

PMID37253770
PMCPMC10229576

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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.