increase of the heart rate suggest anxiety and defensive responses ( Danilova, 1995).
A promising approach to evaluate emotional state of user would be a computerbased identification of facial expressions. MDS of subjective differences between outlined facial emotional expressions has shown that the angles of brouttes and mouth strongly determine emotional aspects of facial expression. Different emotional expressions are located on a hypersphere in the four dimensional emotional space. Emotional tone, emotional intensity and emotional saturation correspond to three angles of the emotional hypersphere. Subjective differences between emotions highly correlate with distances between points in the four-dimensional space ( Sokolov, 1992, Izmailov et al, 1999). The geometrical model of facial emotional expression implemented as a neuron-like structure in a computer might be used in parallel with autonomic indices of emotions.
Combination of cognitive and biological criteria can contribute to individual optimization of computer-assisted education.
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