ArticleScience advances2020
Universal facial expressions uncovered in art of the ancient Americas: A computational approach.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
17 citing papers in PubMed.
- The expression of awe: evolutionary origins and cultural elaborations of a basic emotion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
- Laws about bodily damage originate from shared intuitions about the value of body parts.Science advances · 2025Article
- Emotional palette: a computational mapping of aesthetic experiences evoked by visual art.Scientific reports · 2024Article
- Article
- Facial icons as indexes of emotions and intentions.Frontiers in psychology · 2024Article
- How emotion is experienced and expressed in multiple cultures: a large-scale experiment across North America, Europe, and Japan.Frontiers in psychology · 2024Article
- Universal interpretations of vocal music.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Beyond Nature Versus Nurture: the Emergence of Emotion.Affective science · 2023Review
- The representation of emotional experience from imagined scenarios.Emotion (Washington, D.C.) · 2023Article
- The nature and neurobiology of fear and anxiety: State of the science and opportunities for accelerating discovery.Neuroscience and biobehavioral reviews · 2023Review
- Deep learning reveals what vocal bursts express in different cultures.Nature human behaviour · 2023Article
- From Text to Thought: How Analyzing Language Can Advance Psychological Science.Perspectives on psychological science : a journal of the Association for Psychological Science · 2022Article
- How to Develop Reliable Instruments to Measure the Cultural Evolution of Preferences and Feelings in History?Frontiers in psychology · 2022Article
- An Online Experiment During COVID-19: Testing the Influences of Autonomy Support Toward Emotions and Academic Persistence.Frontiers in psychology · 2021Article
- Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings.Nature communications · 2020Article
- Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes.IEEE transactions on affective computingArticle
- Are Emotions Natural Kinds After All? Rethinking the Issue of Response Coherence.Evolutionary psychology : an international journal of evolutionary approaches to psychology and behaviorArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Central to the study of emotion is evidence concerning its universality, particularly the degree to which emotional expressions are similar across cultures. Here, we present an approach to studying the universality of emotional expression that rules out cultural contact and circumvents potential biases in survey-based methods: A computational analysis of apparent facial expressions portrayed in artwork created by members of cultures isolated from Western civilization. Using data-driven methods, we find that facial expressions depicted in 63 sculptures from the ancient Americas tend to accord with Western expectations for emotions that unfold in specific social contexts. Ancient American sculptures tend to portray at least five facial expressions in contexts predicted by Westerners, including "pain" in torture, "determination"/"strain" in heavy lifting, "anger" in combat, "elation" in social touch, and "sadness" in defeat-supporting the universality of these expressions.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.