0000000001306269
AUTHOR
Marietta Papadatou-pastou
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…
The Psychological Science Accelerator’s COVID-19 rapid-response dataset
Funder: Amazon Web Services (AWS) Imagine Grant
Data-Driven approach reveals universal patterns in colour-emotion associations across 30 nations
Description of the data set for the manuscript "A machine learning approach to quantifying the specificity of color-emotion associations and their cultural differences".
Description of the data set
A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic
© The Author(s), under exclusive licence to Springer Nature Limited 2021, corrected publication 2022
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…
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
The study of moral judgements often centres on moral dilemmas in which options consistent with deontological perspectives (that is, emphasizing rules, individual rights and duties) are in conflict with options consistent with utilitarian judgements (that is, following the greater good based on consequences). Greene et al. (2009) showed that psychological and situational factors (for example, the intent of the agent or the presence of physical contact between the agent and the victim) can play an important role in moral dilemma judgements (for example, the trolley problem). Our knowledge is limited concerning both the universality of these effects outside the United States and the impact of …
Predictors of enhancing human physical attractiveness: Data from 93 countries
People across the world and throughout history have gone to great lengths to enhance their physical appearance. Evolutionary psychologists and ethologists have largely attempted to explain this phenomenon via mating preferences and strategies. Here, we test one of the most popular evolutionary hypotheses for beauty-enhancing behaviors, drawn from mating market and parasite stress perspectives, in a large cross-cultural sample. We also test hypotheses drawn from other influential and non-mutually exclusive theoretical frameworks, from biosocial role theory to a cultural media perspective. Survey data from 93,158 human participants across 93 countries provide evidence that behaviors such as a…
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…
Predictors of enhancing human physical attractiveness: Data from 93 countries
People across the world and throughout history have gone to great lengths to enhance their physical appearance. Evolutionary psychologists and ethologists have largely attempted to explain this phenomenon via mating preferences and strategies. Here, we test one of the most popular evolutionary hypotheses for beauty-enhancing behaviors, drawn from mating market and parasite stress perspectives, in a large cross-cultural sample. We also test hypotheses drawn from other influential and non-mutually exclusive theoretical frameworks, from biosocial role theory to a cultural media perspective. Survey data from 93,158 human participants across 93 countries provide evidence that behaviors such as 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…
Data set for the manuscript "A machine learning approach to quantifying the specificity of color-emotion associations and their cultural differences"
Each row represents the ratings of the intensity of 20 emotions associated with the color term given by variable "color", by participant identified by variable "subject"
Data set for the manuscript "A machine learning approach to quantify the specificity of color-emotion associations and their cultural differences".
Each row represents the ratings of the intensity of 20 emotions associated with the color term given by variable "color", by participant identified by variable "subject"