Understanding the system operator’s resilience to stressful situations is very important in designing adaptive systems. In this study we suggest a method to predict emotional granularity, a crucial personality trait that influences one’s ability to cope with highly demanding situations. To predict emotional granularity, we measured the coherence of brain activities with EEG, while participants were viewing affective images, and used random forest learning method for classification of participants. The results showed that EEG coherence could predict the individual’s emotional granularity with up to 88% accuracy.
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