ArticleFrontiers in psychology2020
Read My Face: Automatic Facial Coding Versus Psychophysiological Indicators of Emotional Valence and Arousal.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 83 citations in OpenAlex.
- Facial obstructions and baseline correction shape affective computing's detection of emotion-behavior relationships.Frontiers in psychology · 2026Article
- Wireless high-resolution surface facial electromyography mask for discrimination of standardized facial expressions in healthy adults.Scientific reports · 2024Article
- Sensorimotor regulation of facial expression - An untouched frontier.Neuroscience and biobehavioral reviews · 2024Review
- Measuring dynamic emotional experiences in response to media stimuli.Frontiers in psychology · 2024Review
- Measuring facial mimicry: Affdex vs. EMG.PloS one · 2024Article
- Py-Feat: Python Facial Expression Analysis Toolbox.Affective science · 2023Article
- Electromyographic Validation of Spontaneous Facial Mimicry Detection Using Automated Facial Action Coding.Sensors (Basel, Switzerland) · 2023Article
- High-resolution surface electromyographic activities of facial muscles during the six basic emotional expressions in healthy adults: a prospective observational study.Scientific reports · 2023Observational
- Synchronized affect in shared experiences strengthens social connection.Communications biology · 2023Article
- Testing, explaining, and exploring models of facial expressions of emotions.Science advances · 2023Article
- Article
- Training machine learning algorithms for automatic facial coding: The role of emotional facial expressions' prototypicality.PloS one · 2023Article
- Tai Chi exercise improves working memory capacity and emotion regulation ability.Frontiers in psychology · 2023Article
- Test-retest reliability of high-resolution surface electromyographic activities of facial muscles during facial expressions in healthy adults: A prospective observational study.Frontiers in human neuroscience · 2023Article
- Automatic facial coding predicts self-report of emotion, advertisement and brand effects elicited by video commercials.Frontiers in neuroscience · 2023Article
- Quantifying the efficacy of an automated facial coding software using videos of parents.Frontiers in psychology · 2023Article
- Postural Correlates of Pollution Perception.Brain sciences · 2022Article
- Attentional and Behavioral Disengagement as Coping Responses to Technostress and Financial Stress: An Experiment Based on Psychophysiological, Perceptual, and Behavioral Data.Frontiers in neuroscience · 2022Article
- Evaluation of film stimuli for the assessment of social-emotional processing: a pilot study.PeerJ · 2022Article
- What's in a face: Automatic facial coding of untrained study participants compared to standardized inventories.PloS one · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Facial expressions provide insight into a person's emotional experience. To automatically decode these expressions has been made possible by tremendous progress in the field of computer vision. Researchers are now able to decode emotional facial expressions with impressive accuracy in standardized images of prototypical basic emotions. We tested the sensitivity of a well-established automatic facial coding software program to detect spontaneous emotional reactions in individuals responding to emotional pictures. We compared automatically generated scores for valence and arousal of the Facereader (FR; Noldus Information Technology) with the current psychophysiological gold standard of measuring emotional valence (Facial Electromyography, EMG) and arousal (Skin Conductance, SC). We recorded physiological and behavioral measurements of 43 healthy participants while they looked at pleasant, unpleasant, or neutral scenes. When viewing pleasant pictures, FR Valence and EMG were both comparably sensitive. However, for unpleasant pictures, FR Valence showed an expected negative shift, but the signal differentiated not well between responses to neutral and unpleasant stimuli, that were distinguishable with EMG. Furthermore, FR Arousal values had a stronger correlation with self-reported valence than with arousal while SC was sensitive and specifically associated with self-reported arousal. This is the first study to systematically compare FR measurement of spontaneous emotional reactions to standardized emotional images with established psychophysiological measurement tools. This novel technology has yet to make strides to surpass the sensitivity of established psychophysiological measures. However, it provides a promising new measurement technique for non-contact assessment of emotional responses.
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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.