Micro-expressions are involuntary facial expressions that appear on a person's face for a very short duration (usually 1/25 to 1/5 of a second) when they try to conceal their emotions. These expressions are often subconscious and correspond to basic emotions (happiness, anger, sadness, fear, disgust, surprise). Micro-expressions are considered an outward manifestation of a person's inner experience despite the suppression of emotion.
The concept of micro-expressions was first defined in the 1960s by psychologists Paul Ekman and Wallace V. Friesen. Ekman studied the cross-cultural validity of universal facial expressions and demonstrated the accuracy of micro-expressions through experimental studies. With the developed Facial Action Coding System (FACS), these expressions have been systematically classified.
The question of whether micro-expressions are always a reliable indicator of suppressed emotions is debatable. Some researchers emphasize that there is subjectivity in the interpretation of these expressions and that they cannot be evaluated independently of context.
AI-supported facial recognition systems are developing towards the automatic analysis of micro-expressions. Studies in this field have also brought up ethical and privacy dimensions, especially in the training of artificial intelligence systems.
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