Аннотация:We studied color and emotions interaction at semantic level in conceptual frame of E.N. Sokolov’s ‘Vector Psychophysiology’. Every possible combination of 20 Russian words (10 basic color and 10 basic emotions) was presented to 50 subjects 5 times with order to use 1-9 scale to estimate difference. 20*20 full matrix and 10*10 color and emotional submatrices were averaged and multidimensionally scaled. 19-channel EEG was recorded and ERPs to process of categorization of stimulus as belonging to Color or Emotion categories were calculated. 20 group-averaged ERPs were intercorrelated in every of 19 leads in each of 100-ms epochs and corresponding sets 20*20 full ‘correlational’ EEG-matrices and 10*10 color and emotional EEG-submatrices were analyzed. 1. The semantic emotional subspace is fourdimensional and spherical (corresponds to Sokolov E.N., 2013) and represented by 3 bipolar (Pleasure, Arousal, Dominance) and one unipolar (‘Condemnation’) axes. 2. The semantic color subspace is also 4D & spherical and represented by 4 bipolar axes: 2 chromatic (‘Green-Red’, ‘Blue-Yellow’), Intensity and ‘Contrast Grey’ (achromatic vs. chromatic but not in the order of saturation). 3. The full semantic space is 4D & spherical and mainly repeats emotional axes hence color system has been substantially overwhelmed by the emotional one. 4. Subjective- and EEG-matrices are significantly correlated in specific leads and latencies indicating cortical mechanisms of color-emotion interaction. These data produce new multidimensional psychophysiological model of color-emotion semantic interaction.
The research was supported by the Russian Science Foundation (project@16-18-00066).