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

被引:88
作者
Jonauskaite, Domicele [1 ]
Abu-Akel, Ahmad [1 ]
Dael, Nele [1 ,2 ]
Oberfeld, Daniel [3 ]
Abdel-Khalek, Ahmed M. [4 ]
Al-Rasheed, Abdulrahman S. [5 ]
Antonietti, Jean-Philippe [1 ]
Bogushevskaya, Victoria [6 ]
Chamseddine, Amer [7 ]
Chkonia, Eka [8 ]
Corona, Violeta [9 ,10 ]
Fonseca-Pedrero, Eduardo [11 ]
Griber, Yulia A. [12 ]
Grimshaw, Gina [13 ]
Hasan, Aya Ahmed [4 ]
Havelka, Jelena [14 ]
Hirnstein, Marco [15 ]
Karlsson, Bodil S. A. [16 ]
Laurent, Eric [17 ,18 ,19 ]
Lindeman, Marjaana [20 ]
Marquardt, Lynn [15 ]
Mefoh, Philip [21 ]
Papadatou-Pastou, Marietta [22 ,23 ]
Perez-Albeniz, Alicia [11 ]
Pouyan, Niloufar [1 ]
Roinishvili, Maya [24 ]
Romanyuk, Lyudmyla [25 ,26 ,27 ]
Salgado Montejo, Alejandro [28 ,29 ,30 ]
Schrag, Yann [1 ]
Sultanova, Aygun [31 ]
Uuskuela, Mari [32 ]
Vainio, Suvi [33 ]
Wasowicz, Grazyna [34 ]
Zdravkovic, Suncica [35 ,36 ]
Zhang, Meng [37 ]
Mohr, Christine [1 ]
机构
[1] Univ Lausanne, Inst Psychol, Batiment Geopolis, CH-1015 Lausanne, Switzerland
[2] Univ Lausanne, Dept Org Behav, Lausanne, Switzerland
[3] Johannes Gutenberg Univ Mainz, Inst Psychol, Mainz, Germany
[4] Alexandria Univ, Fac Arts, Dept Psychol, Alexandria, Egypt
[5] King Saud Univ, Dept Psychol, Riyadh, Saudi Arabia
[6] Univ Cattolica Sacro Cuore, Dept Linguist Sci & Foreign Literatures, Milan, Italy
[7] Swiss Fed Inst Technol Lausanne, Sch Comp & Commun Sci, Lausanne, Switzerland
[8] Tbilisi State Med Univ, Dept Psychiat, Tbilisi, Georgia
[9] Univ Panamericana, Escuela Ciencias Econ & Empresari, Mexico City, DF, Mexico
[10] Univ Politecn Valencia, Business Management Dept, Valencia, Spain
[11] Univ La Rioja, Dept Educ Sci, La Rioja, Spain
[12] Smolensk State Univ, Dept Sociol & Philosophy, Smolensk, Russia
[13] Victoria Univ Wellington, Sch Psychol, Wellington, New Zealand
[14] Univ Leeds, Sch Psychol, Leeds, W Yorkshire, England
[15] Univ Bergen, Dept Biol & Med Psychol, Bergen, Norway
[16] Res Inst Sweden AB, Div Built Environm, Gothenburg, Sweden
[17] Univ Bourgogne Franche Comte, Lab Psychol, Besancon, France
[18] CNRS, Maison Sci Homme & Environm, Paris, France
[19] Univ Franche Comte, Besancon, France
[20] Univ Helsinki, Dept Psychol & Logoped, Helsinki, Finland
[21] Univ Nigeria, Dept Psychol, Nsukka, Nigeria
[22] Natl & Kapodistrian Univ Athens, Sch Educ, Athens, Greece
[23] Acad Athens, Biomed Res Fdn BRFaa, Athens, Greece
[24] I Beritashvili Ctr Expt Biomed, Lab Vis Physiol, Tbilisi, Georgia
[25] Taras Shevchenko Natl Univ Kyiv, Fac Psychol, Kiev, Ukraine
[26] VI Vernadsky Taurida Natl Univ, Dept Psychol, Simferopol, Ukraine
[27] Kyiv Natl Univ Culture & Arts, Dept Psychol, Kiev, Ukraine
[28] Univ La Sabana, Escuela Int Ciencias Econ & Adm, Cundinamarca, Colombia
[29] BI Norwegian Business Sch, Ctr Multisensory Mkt, Oslo, Norway
[30] Neurosketch, Bogota, Colombia
[31] Natl Mental Hlth Ctr, Minist Hlth, Baku, Azerbaijan
[32] Tallinn Univ, Sch Humanities, Tallinn, Estonia
[33] Univ Helsinki, Fac Social Sci, Helsinki, Finland
[34] Kozminski Univ, Dept Econ Psychol, Warsaw, Poland
[35] Univ Novi Sad, Dept Psychol, Novi Sad, Serbia
[36] Univ Belgrade, Lab Expt Psychol, Belgrade, Serbia
[37] Zhejiang Univ, Dept Psychol & Behav Sci, Hangzhou, Peoples R China
基金
俄罗斯基础研究基金会; 瑞士国家科学基金会;
关键词
affect; color perception; cross-cultural; universality; cultural relativity; pattern analysis; open data; open materials; LANGUAGES; MEANINGS; RED;
D O I
10.1177/0956797620948810
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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 coefficientr= .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.
引用
收藏
页码:1245 / 1260
页数:16
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