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BODY LANGUAGE INTERPRETATION: PSYCHOPHYSIOLOGICAL AND
COGNITIVE ASPECTS
Asatullaev Rustamjon Baxtiyarovich
Scientific supervisor
Muxamedjonova Diyora Ma’rufovna
Student
Annotation:
Body language is a key component of non-verbal communication and plays an
important role in interpersonal interactions. This article examines the psychophysiological and
cognitive mechanisms of perception and interpretation of div language, as well as their impact
on social and professional aspects of life.
Keywords:
div language, non-verbal communication, cognitive psychology, neuropsychology,
social interaction.
Introduction
Communication between people includes both verbal and non-verbal components. Studies show
that up to 55% of information in communication is transmitted through div language
(Mehrabian, 1972). Non-verbal cues such as gestures, facial expressions, posture, and eye
contact play an important role in conveying emotions and intentions.
The study of div language covers several disciplines, including cognitive psychology, social
neuroscience, and ethology. Modern technologies such as functional magnetic resonance
imaging (fMRI) and electroencephalography (EEG) provide a deeper understanding of the
mechanisms of nonverbal signal processing by the brain.
1. The psychophysiological foundations of div language
1.1. Neurobiological mechanisms of perception of non-verbal information
The processing of non-verbal signals is associated with the activity of several brain structures:
• The amygdala (amygdala) plays a key role in interpreting emotional cues, especially fear and
aggression (Adolphs et al., 1994).
• The prefrontal cortex is responsible for cognitive assessment of nonverbal stimuli and social
behavior (Frith & Frith, 2007).
• The mirror neural system is involved in imitation and understanding of intentions other people
(Rizzolatti & Craighero, 2004).
1.2. Physiological markers of non-verbal communication
Research shows that div language perception is accompanied by physiological changes such as:
• Changes in heart rate when recognizing threats in posture or facial expression (Critchley et al.,
2005).
• Skin activity (electrodermal conduction) when perceiving emotionally charged nonverbal
signals (Dawson et al., 2007).
2. Cognitive aspects of div language interpretation
2.1. The influence of cognitive biases on the perception of non-verbal signals
People do not always objectively interpret nonverbal signals, which is associated with cognitive
distortions, such as:
• Primacy effect – early nonverbal signals affect the overall impression of a person (Asch, 1946)
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• Halo effect – positive or negative characteristics distort the perception of other features of the
interlocutor (Nisbett & Wilson, 1977).
2.2. The role of cultural differences in the interpretation of div language
Non-verbal signals can be interpreted in different ways depending on the cultural context:
• In Western cultures, direct eye contact is associated with confidence, while in some Asian
cultures it is avoided out of respect (Argyle, 1988).
• Gestures can have different meanings: the “OK” sign (the connection of the thumb and index
finger) in the United States It means consent, and in some Latin American countries it means
insult (Matsumoto, 2006).
3. The application of knowledge about div language in various fields
3.1. Medical diagnostics and psychology
• Doctors can interpret patients' div language to identify pain, anxiety, or depression (Hall et
al., 2009).
• In psychotherapy, nonverbal signals are used to establish a trusting relationship between the
patient and the therapist (Burgoon et al., 2016).
3.2.. Artificial intelligence and emotion recognition
Modern machine learning algorithms allow analyzing div language for use in virtual assistants
and surveillance systems (Pantic & Rothkrantz, 2003).
Conclusion
Body language is an important element of human communication, affecting cognitive,
psychophysiological and social aspects. The development of neuroscience technologies and
methods opens up new opportunities for studying and applying knowledge about nonverbal
communication in various fields, from medicine to artificial intelligence.
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Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:
6.995, 2024 7.75
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