Trial reportEmotion (Washington, D.C.)2022
Training reduces error in rating the intensity of emotions.
Trial report in Emotion (Washington, D.C.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Trial
- A Randomized Controlled Trial of Computerized Interpretation Bias Training for Disruptive Mood Dysregulation Disorder: A Fast-Fail Study.Journal of the American Academy of Child and Adolescent Psychiatry · 2022Trial
- A Computational Model Reveals Learning Dynamics During Interpretation Bias Training With Clinical Applications.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Categorization of Vocal Emotion Cues Depends on Distributions of Input.Affective science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The ability to recognize how another is feeling is a critical skill, with profound implications for social adaptation. Training programs designed to improve social functioning typically attempt to direct attention toward or away from certain facial configurations, or to improve discrimination between emotions by categorizing faces. However, emotion recognition involves processes in addition to attentional orienting or categorical labeling. The intensity with which someone is experiencing an emotion is also influential; knowing whether someone is annoyed or enraged will guide an observer's response. Here, we systematically examined a novel paradigm designed to improve ratings of facial information communicating emotion intensity in a sample of 492 participants across a series of 8 studies. In Study 1, participants improved precision in recognizing the intensity of facial cues through personalized corrective feedback. These initial findings were replicated in a randomized-control trial comparing training with feedback to viewing and rating faces without feedback. Studies 2 and 3 revealed that these effects generalize to identities and facial configurations not included in the training. Study 4 indicated that the effects were sustained beyond the training session. These findings suggest that individualized, corrective feedback is effective for reducing error in rating the intensity of facial cues. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.