Jonauskaite_Tables_S1-S14_rev – Supplemental material for Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity

Supplemental material, Jonauskaite_Tables_S1-S14_rev for Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity by Domicele Jonauskaite, Ahmad Abu-Akel, Nele Dael, Daniel Oberfeld, Ahmed M. Abdel-Khalek, Abdulrahman S. Al-Rasheed, Jean-Philippe Antonietti, Victoria Bogushevskaya, Amer Chamseddine, Eka Chkonia, Violeta Corona, Eduardo Fonseca-Pedrero, Yulia A. Griber, Gina Grimshaw, Aya Ahmed Hasan, Jelena Havelka, Marco Hirnstein, Bodil S. A. Karlsson, Eric Laurent, Marjaana Lindeman, Lynn Marquardt, Philip Mefoh, Marietta Papadatou-Pastou, Alicia Pérez-Albéniz, Niloufar Pouyan, Maya Roinishvili, Lyudmyla Romanyuk, Alejandro Salgado Montej…

Jonauskaite_OpenPracticesDisclosure_rev – Supplemental material for Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity

Supplemental material, Jonauskaite_OpenPracticesDisclosure_rev for Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity by Domicele Jonauskaite, Ahmad Abu-Akel, Nele Dael, Daniel Oberfeld, Ahmed M. Abdel-Khalek, Abdulrahman S. Al-Rasheed, Jean-Philippe Antonietti, Victoria Bogushevskaya, Amer Chamseddine, Eka Chkonia, Violeta Corona, Eduardo Fonseca-Pedrero, Yulia A. Griber, Gina Grimshaw, Aya Ahmed Hasan, Jelena Havelka, Marco Hirnstein, Bodil S. A. Karlsson, Eric Laurent, Marjaana Lindeman, Lynn Marquardt, Philip Mefoh, Marietta Papadatou-Pastou, Alicia Pérez-Albéniz, Niloufar Pouyan, Maya Roinishvili, Lyudmyla Romanyuk, Alejandro Salg…

Data-Driven approach reveals universal patterns in colour-emotion associations across 30 nations

Jonauskaite_Supplemental_Method_and_Figs._S1-S5_rev – Supplemental material for Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity

Supplemental material, Jonauskaite_Supplemental_Method_and_Figs._S1-S5_rev for Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity by Domicele Jonauskaite, Ahmad Abu-Akel, Nele Dael, Daniel Oberfeld, Ahmed M. Abdel-Khalek, Abdulrahman S. Al-Rasheed, Jean-Philippe Antonietti, Victoria Bogushevskaya, Amer Chamseddine, Eka Chkonia, Violeta Corona, Eduardo Fonseca-Pedrero, Yulia A. Griber, Gina Grimshaw, Aya Ahmed Hasan, Jelena Havelka, Marco Hirnstein, Bodil S. A. Karlsson, Eric Laurent, Marjaana Lindeman, Lynn Marquardt, Philip Mefoh, Marietta Papadatou-Pastou, Alicia Pérez-Albéniz, Niloufar Pouyan, Maya Roinishvili, Lyudmyla Romanyuk, Al…

The Sun Is no Fun without Rain

Across cultures, people associate colours with emotions. Here, we test the hypothesis that one driver of this cross-modal correspondence is the physical environment we live in. We focus on a prime example – the association of yellow with joy, – which conceivably arises because yellow is reminiscent of life-sustaining sunshine and pleasant weather. If so, this association should be especially strong in countries where sunny weather is a rare occurrence. We analysed yellow-joy associations of 6625 participants from 55 countries to investigate how yellow-joy associations varied geographically, climatologically, and seasonally. We assessed the distance to the equator, sunshine, precipitation, a…

Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity

Many of us “see red,” “feel blue,” or “turn green with envy.” Are such color-emotion associations fundamental to our shared cognitive architecture, or are they cultural creations learned through our languages and traditions? To answer these questions, we tested emotional associations of colors in 4,598 participants from 30 nations speaking 22 native languages. Participants associated 20 emotion concepts with 12 color terms. Pattern-similarity analyses revealed universal color-emotion associations (average similarity coefficient r = .88). However, local differences were also apparent. A machine-learning algorithm revealed that nation predicted color-emotion associations above and beyond tho…