ArticleRoyal Society open science2019
A machine learning approach to quantify the specificity of colour-emotion associations and their cultural differences.
Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Do we feel colours? A systematic review of 128 years of psychological research linking colours and emotions.Psychonomic bulletin & review · 2025Pooled it
- Preserved Aesthetic Judgements in Parkinson's Disease: A Case-Control Study Suggests Limited Need for Content Adaptation for Receptive Arts Engagement.Journal of clinical medicine · 2026Article
- The stability of colour-emotion associations across colour presentation modes and experimental settings.Psychonomic bulletin & review · 2026Article
- Construction of a personality trait prediction model based on color perception preference and personalized cognitive intervention pathways in art education.Frontiers in psychology · 2026Article
- Exploiting facial emotion recognition system for ambient assisted living technologies triggered by interpreting the user's emotional state.Frontiers in neuroscience · 2025Article
- Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos.Sensors (Basel, Switzerland) · 2024Article
- Cross-cultural comparison of beauty judgments in visual art using machine learning analysis of art attribute predictors among Japanese and German speakers.Scientific reports · 2024Article
- Drawing as a window to emotion with insights from tech-transformed participant images.Scientific reports · 2024Article
- Mimicking Facial Expressions Facilitates Working Memory for Stimuli in Emotion-Congruent Colours.Vision (Basel, Switzerland) · 2024Article
- Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributes.PloS one · 2024Article
- Is Purple Lost in Translation? The Affective Meaning of Purple, Violet, and Lilac Cognates in 16 Languages and 30 Populations.Journal of psycholinguistic research · 2023Article
- The good, the bad, and the red: implicit color-valence associations across cultures.Psychological research · 2023Article
- Promoting a hand sanitizer by persuasive messages: moving bottle and background color as approach and avoidance cues.Current psychology (New Brunswick, N.J.) · 2022Article
- Visual communication via the design of food and beverage packaging.Cognitive research: principles and implications · 2022Review
- Personality first in emotion: a deep neural network based on electroencephalogram channel attention for cross-subject emotion recognition.Royal Society open science · 2021Article
- Article
- Feeling Blue or Seeing Red? Similar Patterns of Emotion Associations With Colour Patches and Colour Terms.i-PerceptionArticle
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8 authors.
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Abstract
The link between colour and emotion and its possible similarity across cultures are questions that have not been fully resolved. Online, 711 participants from China, Germany, Greece and the UK associated 12 colour terms with 20 discrete emotion terms in their native languages. We propose a machine learning approach to quantify (a) the consistency and specificity of colour-emotion associations and (b) the degree to which they are country-specific, on the basis of the accuracy of a statistical classifier in (a) decoding the colour term evaluated on a given trial from the 20 ratings of colour-emotion associations and (b) predicting the country of origin from the 240 individual colour-emotion associations, respectively. The classifier accuracies were significantly above chance level, demonstrating that emotion associations are to some extent colour-specific and that colour-emotion associations are to some extent country-specific. A second measure of country-specificity, the in-group advantage of the colour-decoding accuracy, was detectable but relatively small (6.1%), indicating that colour-emotion associations are both universal and culture-specific. Our results show that machine learning is a promising tool when analysing complex datasets from emotion research.
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