# Emotions and Colors in a Design Archiving System: Applying AI Technology for Museums
## 3 Methodology
The IRI hue and tone palette of 120 monochromatic systems (see Figure 6A) and the IRI adjective image scale were used to match emotional adjectives using the three main colors extracted from the design work images. Prior to adjective derivation, the distance  
Figure 4: Flow chart. Figure 5: Dominant color extraction from [PERSON]’s Senecio. between the main RGB color extracted from the design work image and 120 monochromatic RGB values provided by the IRI hue and tone palette was calculated and matched. Figure 6: IRI hue and tone palette of 120 monochrome colors, Mapping with IRI color scale and adjective scale. (**A**) IRI hue and tones palette of 120 monochrome; (**B**) Mapping with IRI color scales and adjective scale; (**C**) Process of calculating distance zooming in the first quadrants. The distance calculation between the main color of the design work and the 120 monochromatic RGB values was applied to the shortest distance between the two data points on the scale using the Euclidean distance formula, as follows:  
\[d_{e}(r_{1},g_{1},b_{1}),(r_{2},g_{2},b_{2})\ =\sqrt{\left(r_{1}-r_{2}\right)^{2}+ \left(g_{1}-g_{2}\right)^{2}+\left(b_{1}-b_{2}\right)^{2}} \tag{2}\]  
The RGB value from the IRI monochromatic color was found to be the closest to the main color extracted from the design work image. The closest monochromatic color among the 120 colors on the IRI image scale was selected as the main color of the design work, and the main color data were automatically archived in the archiving system. Once the dominant three main colors had been selected, the corresponding emotional adjective extraction was performed. The IRI emotional adjective image scale quadrant image was referenced. The image scale and adjective scale consisted of a horizontal dynamic-static axis and a soft-hard vertical axis (see Figure 6B). Among the quadrants, there were 12 emotional adjectives: gentle, clear, pretty, natural, and so forth (see Table 1 and Figure 6C). There are emotional adjectives and descriptive adjectives in Table 1, and some descriptive adjectives are a subset of a certain emotional adjective. As an example, the emotional adjective \"clear\" is positioned in the first quadrant and comprises other descriptive adjectives such as light, soft, delicate, transparent, mild, neat, and refreshing. The IRI image scale and adjective scale were developed based on SD measurement in a previous study, with scales ranging from 0 to 3 for all quadrants. In the present study, the two scales were used for color and adjective mapping, as shown in Figure 6B. We normalized the measurement from 0 to 1 and the matching process as follows. We used points of colors and adjectives to plot the points on the map. The distances between a point of a certain color and all the points of the adjectives were calculated by applying the Euclidean distance formula based on their coordinates, and the closest color and emotional adjectives were paired (see Figure 6C). The Euclidean distance formula was as follows:  
\[d_{e}(r_{1},q_{1}),(p_{2},q_{2})\ =\sqrt{\left(p_{1}-p_{2}\right)^{2}+\left(q_{1}-q _{2}\right)^{2}} \tag{3}\]  
In the case of [PERSON]'s Senecio, for instance, the result of matching the dominant RGB values of the design work with emotional adjectives was as follows. The second dominant color of Senecio, RGB (200, 164, 146), matched RGB (199, 147, 168) among the IRI 120 monochromatic colors from the hue and tone palette. It was located in the first quadrant (soft-static) on the IRI image scale.