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A machine learning approach to quantifying the specificity of colour–emotion associations and their cultural differences

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Figure

Table 1. Demographic data of the participants included in the data analysis, for each of the four countries.
Figure 1. Participants used the Geneva Emotion Wheel [37] to rate the associations between 20 discrete emotions and a colourterm
Table 2. Colour and emotion terms in English, German, Greek and simplified Mandarin Chinese used in this study.
Figure 2. Stacked bar charts showing how often participants chose the six GEW intensity ratings (unweighted average proportionsnegative valence, emotions on the right-hand side ofThe grey areas represent the average proportion of participants that selected
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