Literature DB >> 32597672

Training reduces error in rating the intensity of emotions.

Brian T Leitzke1, Rista C Plate1, Seth D Pollak1.   

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).

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Year:  2020        PMID: 32597672      PMCID: PMC8344377          DOI: 10.1037/emo0000763

Source DB:  PubMed          Journal:  Emotion        ISSN: 1528-3542


  46 in total

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Review 5.  Feelings and contexts: socioecological influences on the nonverbal expression of emotion.

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Authors:  A M Kring; A H Gordon
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8.  Development of perceptual expertise in emotion recognition.

Authors:  Seth D Pollak; Michael Messner; Doris J Kistler; Jeffrey F Cohn
Journal:  Cognition       Date:  2008-12-06

9.  Attentional bias in clinical depression and anxiety: The impact of emotional and non-emotional distracting information.

Authors:  L Lichtenstein-Vidne; H Okon-Singer; N Cohen; D Todder; T Aue; B Nemets; A Henik
Journal:  Biol Psychol       Date:  2016-07-12       Impact factor: 3.251

Review 10.  A developmental neuroscience perspective on affect-biased attention.

Authors:  Santiago Morales; Xiaoxue Fu; Koraly E Pérez-Edgar
Journal:  Dev Cogn Neurosci       Date:  2016-08-28       Impact factor: 6.464

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  2 in total

1.  Categorization of Vocal Emotion Cues Depends on Distributions of Input.

Authors:  Kristina Woodard; Rista C Plate; Michele Morningstar; Adrienne Wood; Seth D Pollak
Journal:  Affect Sci       Date:  2021-04-10

2.  A Randomized Controlled Trial of Computerized Interpretation Bias Training for Disruptive Mood Dysregulation Disorder: A Fast-Fail Study.

Authors:  Simone P Haller; Joel Stoddard; Christian Botz-Zapp; Michal Clayton; Caroline MacGillivray; Gretchen Perhamus; Kelsey Stiles; Katharina Kircanski; Ian S Penton-Voak; Yair Bar-Haim; Marcus Munafò; Kenneth E Towbin; Melissa A Brotman
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2021-06-17       Impact factor: 8.829

  2 in total

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