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PSYCHOPHYSIOLOGICAL RELATIONSHIPS BETWEEN EMOTIONAL STATES AND RESPIRATORY DYNAMICS IN DRIVERS UNDER COGNITIVE LOAD
V Papoyan1, A Nadoyan1, V Manukyan1
1Yerevan State University, Armenia.
Emotional states significantly alter drivers
Area of Science:
- Psychophysiology
- Human-Computer Interaction
- Transportation Safety
Background:
- Emotional states and cognitive load impact driver performance.
- Understanding affective influences on physiological responses is crucial for driver safety.
- Respiratory patterns are linked to autonomic nervous system activity.
Purpose of the Study:
- To investigate the relationship between emotional states and respiratory dynamics in drivers under cognitive load.
- To determine if respiratory parameters can serve as biomarkers for emotional regulation during driving.
- To explore the potential for driver monitoring systems based on respiratory analysis.
Main Methods:
- Utilized psychophysiological measurements and emotional self-reports from 859 professional drivers.
- Recorded respiratory parameters (rate, tidal volume, inspiratory duration/flow) using wearable sensors.
- Assessed emotional states via Self-Assessment Manikin (SAM) and questionnaires on stress, fatigue, and negative emotions.
Main Results:
- Negative emotions correlated with reduced inspiration time and respiratory variability (constrained breathing).
- Strong emotional activation linked to increased tidal volume and inspiratory flow (greater amplitude).
- High correlation (r≈0.90) observed between tidal volume and inspiratory flow.
Conclusions:
- Respiratory parameters are sensitive psychophysiological markers of emotional regulation in drivers.
- Breathing patterns reflect emotional states and cognitive load during driving tasks.
- Findings support the development of driver monitoring systems for stress and overload detection.
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