Evidence map›Paper›PMID 41906778›Full record

ArticlePerception2026

Recognition patterns of dynamic emotional facial expression stimuli.

Yongguk M Sarles, Samuel Suk-Hyun Hwang

Abstract read
In one paragraph

Article in Perception, 2026. 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

2 authors.

Yongguk M SarlesChonnam National University, South Korea.ORCID 0000-0003-1342-3048
Samuel Suk-Hyun HwangChonnam National University, South Korea.ORCID 0000-0002-4907-0355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the emotion recognition patterns as a function of facial expression speed and intensity by using dynamic facial expression stimuli. Ninety-six university students participated in an emotion identification task, viewing computer-presented facial expressions depicting six basic emotions. Each emotion was morphed to vary across four intensity levels (20%, 40%, 60%, and 80%) and four facial expression speeds (250 ms, 500 ms, 750 ms, and 1,000 ms). A repeated-measures ANOVA was conducted to compare the effects of emotion, intensity, and facial expression speed on accuracy, false alarm rate, sensitivity, and response time. Significant two-way and three-way interactions were observed. Simple effects analyses revealed that each emotion demonstrated distinct optimal combinations of intensity and facial expression speed for accurate, sensitive, and fast recognition. Furthermore, recognition was optimized when expression speed matched intensity within each intensity level: low-intensity expressions were better recognized at faster speeds, while high-intensity expressions were better recognized at slower speeds. These findings suggest that emotion recognition varies systematically with specific combinations of facial expression speed and intensity, highlighting the importance of dynamic features in understanding facial emotion perception.

Indexed as

EmotionsFacial ExpressionFacial RecognitionRecognition, PsychologyAdolescentAdultFemaleHumansMaleYoung Adultdynamic facial stimuliemotion recognitionexpression intensityfacial expression speedidentification accuracymorphed emotion stimuli

Identifiers

PMID41906778
PMCPMC13338482

What OpenQuestion holds

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LicenceCC BY-NC
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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.