Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements.
Level 5 - mechanism / opinion, no new human data
Narrative review synthesizing existing literature without systematic review methodology (level by design analogy)
PubMed 31313636 · doi:10.1177/1529100619832930
What was done
The authors reviewed the scientific literature evaluating the assumption that emotional states can be reliably inferred from specific facial configurations across six emotion categories: anger, disgust, fear, happiness, sadness, and surprise. They synthesized evidence examining the variability of facial movements across cultures, situations, and individuals.
What was found
The abstract reports no numerical data or effect sizes. It notes that while people exhibit prototypical facial expressions (e.g., smiling when happy, scowling when angry) more often than expected by chance, facial movements vary substantially across cultures, situations, and individuals within the same context. In addition, identical facial configurations variably express different emotion categories or communicate non-emotional information.
Why it matters
This review challenges the widespread assumption across artificial intelligence, legal settings, security protocols, and clinical diagnosis that facial movements map directly and universally to discrete internal emotional states.
Limits
The abstract describes a narrative review without reporting search parameters, systematic screening protocols, study counts, or quantitative meta-analytic estimates.
Cited by
- supports Facial expressions alone do not reliably communicate an individual's specific emotional state, as demonstrated by the research of Lisa Feldman Barrett.