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

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:2982753 37 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Universal Patterns in Color-Emotion Associations Are Further Shaped by Linguistic and Geographic Proximity
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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 those observed universally. Similarity was greater when nations were linguistically or geographically close. This study highlights robust universal color-emotion associations, further modulated by linguistic and geographic factors. These results pose further theoretical and empirical questions about the affective properties of color and may inform practice in applied domains, such as well-being and design. © The Author(s) 2020.
Έτος δημοσίευσης:
2020
Συγγραφείς:
Jonauskaite, D.
Abu-Akel, A.
Dael, N.
Oberfeld, D.
Abdel-Khalek, A.M.
Al-Rasheed, A.S.
Antonietti, J.-P.
Bogushevskaya, V.
Chamseddine, A.
Chkonia, E.
Corona, V.
Fonseca-Pedrero, E.
Griber, Y.A.
Grimshaw, G.
Hasan, A.A.
Havelka, J.
Hirnstein, M.
Karlsson, B.S.A.
Laurent, E.
Lindeman, M.
Marquardt, L.
Mefoh, P.
Papadatou-Pastou, M.
Pérez-Albéniz, A.
Pouyan, N.
Roinishvili, M.
Romanyuk, L.
Salgado Montejo, A.
Schrag, Y.
Sultanova, A.
Uusküla, M.
Vainio, S.
Wąsowicz, G.
Zdravković, S.
Zhang, M.
Mohr, C.
Περιοδικό:
Evolutionary Psychological Science
Εκδότης:
SAGE Publications Inc.
Τόμος:
31
Αριθμός / τεύχος:
10
Σελίδες:
1245-1260
Λέξεις-κλειδιά:
color; color vision; emotion; human; jealousy; language; linguistics; machine learning, Color; Color Perception; Emotions; Humans; Jealousy; Language; Linguistics; Machine Learning
Επίσημο URL (Εκδότης):
DOI:
10.1177/0956797620948810
Το ψηφιακό υλικό του τεκμηρίου δεν είναι διαθέσιμο.