Evidence map›Paper›PMID 27071005›Full record

ArticleCognition & emotion2017

Emotion recognition training using composite faces generalises across identities but not all emotions.

Michael N Dalili, Lawrence Schofield-Toloza, Marcus R Munafò, Ian S Penton-Voak

Abstract read
In one paragraph

Article in Cognition & emotion, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Using Positive Emotion Training With Maltreated Youths to Reduce Anger Bias and Physical Aggression.Clinical psychological science : a journal of the Association for Psychological Science · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Michael N Dalilia MRC Integrative Epidemiology Unit (IEU) , University of Bristol , Bristol , UK.
Lawrence Schofield-Tolozab School of Experimental Psychology , University of Bristol , Bristol , UK.
Marcus R Munafòa MRC Integrative Epidemiology Unit (IEU) , University of Bristol , Bristol , UK.
Ian S Penton-Voakb School of Experimental Psychology , University of Bristol , Bristol , UK.

Funding

British Heart FoundationCancer Research UKMedical Research Council MC_UU_12013/6Medical Research Council MR/J011819/1
6 · The paper itself

Abstract

Many cognitive bias modification (CBM) tasks use facial expressions of emotion as stimuli. Some tasks use unique facial stimuli, while others use composite stimuli, given evidence that emotion is encoded prototypically. However, CBM using composite stimuli may be identity- or emotion-specific, and may not generalise to other stimuli. We investigated the generalisability of effects using composite faces in two experiments. Healthy adults in each study were randomised to one of four training conditions: two stimulus-congruent conditions, where same faces were used during all phases of the task, and two stimulus-incongruent conditions, where faces of the opposite sex (Experiment 1) or faces depicting another emotion (Experiment 2) were used after the modification phase. Our results suggested that training effects generalised across identities. However, our results indicated only partial generalisation across emotions. These findings suggest effects obtained using composite stimuli may extend beyond the stimuli used in the task but remain emotion-specific.

Indexed as

EmotionsGeneralization, PsychologicalRecognition, PsychologyAdolescentAdultFacial ExpressionFemaleHumansMaleYoung AdultCognitive bias modificationemotion recognitiongeneralisation

Identifiers

PMID27071005
PMCPMC5448393

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.