This article was automatically translated from the original Turkish version.
Microexpressions are facial expressions that appear involuntarily and for a very brief duration (typically between 1/25 and 1/5 of a second) when a person attempts to conceal their emotions. These expressions are mostly unconscious and correspond to basic emotions (happiness, sadness, fear, anger, disgust, surprise). Microexpressions are regarded as an external manifestation of a person’s internal emotional experience despite attempts to suppress them.
The concept of microexpressions was first defined in the 1960s by psychologists Paul Ekman and Wallace V. Friesen. Ekman investigated the cross-cultural validity of universal facial expressions and demonstrated the reliability of microexpressions through experimental studies. These expressions were systematically classified using the Facial Action Coding System (FACS).
Whether microexpressions are always a reliable indicator of suppressed emotions remains a subject of debate. Some researchers emphasize the subjectivity involved in interpreting these expressions and argue that they cannot be properly evaluated without context.
Artificial intelligence supported facial recognition systems are advancing toward the automated analysis of microexpressions. Research in this field has also brought ethical and privacy dimensions to the forefront, particularly in the training of artificial intelligence systems.
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