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Open AccessJournal ArticleDOI

Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild

TLDR
This paper conducted a large-scale study of the production and visual perception of facial expressions of emotion in the wild and found that of the 16,384 possible facial configurations that people can theoretically produce, only 35 were successfully used to transmit emotive information across cultures, and only 8 within a smaller number of cultures.
Abstract
Automatic recognition of emotion from facial expressions is an intense area of research, with a potentially long list of important application. Yet, the study of emotion requires knowing which facial expressions are used within and across cultures in the wild, not in controlled lab conditions; but such studies do not exist. Which and how many cross-cultural and cultural-specific facial expressions do people commonly use? And, what affect variables does each expression communicate to observers? If we are to design technology that understands the emotion of users, we need answers to these two fundamental questions. In this paper, we present the first large-scale study of the production and visual perception of facial expressions of emotion in the wild. We find that of the 16,384 possible facial configurations that people can theoretically produce, only 35 are successfully used to transmit emotive information across cultures, and only 8 within a smaller number of cultures. Crucially, we find that visual analysis of cross-cultural expressions yields consistent perception of emotion categories and valence, but not arousal. In contrast, visual analysis of cultural-specific expressions yields consistent perception of valence and arousal, but not of emotion categories. Additionally, we find that the number of expressions used to communicate each emotion is also different, e.g., 17 expressions transmit happiness, but only 1 is used to convey disgust.

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Journal ArticleDOI

Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements:

TL;DR: There is an urgent need for research that examines how people actually move their faces to express emotions and other social information in the variety of contexts that make up everyday life, as well as careful study of the mechanisms by which people perceive instances of emotion in one another.
Journal ArticleDOI

Semantic Space Theory: A Computational Approach to Emotion.

TL;DR: In this paper, semantic space theory is used to capture systematic variation in emotion-related behaviors and reveal that specific emotions, more than valence, organize emotional experience, expression, and neural processing.
Journal ArticleDOI

Four dimensions characterize attributions from faces using a representative set of English trait words.

TL;DR: This article found that these attributions are best described by four psychological dimensions, which they interpret as "warmth", "competence", "femininity", and "youth".
Journal ArticleDOI

AI weighs in on debate about universal facial expressions.

Lisa Feldman Barrett
- 01 Jan 2021 - 
TL;DR: In this article, an analysis of more than 6 million YouTube videos finds that people around the world make similar facial expressions in similar social contexts, which brings data science to the debate about the universality of emotion categories.
Journal ArticleDOI

Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals

TL;DR: The empirical results show that the implemented lifelong learning approach remarkably outperforms other baselines in most cases, and is even competitive to the joint training process in some cases, indicating its capability when handling the sequential learning process with multiple tasks.
References
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Journal ArticleDOI

WordNet: a lexical database for English

TL;DR: WordNet1 provides a more effective combination of traditional lexicographic information and modern computing, and is an online lexical database designed for use under program control.
Book

The Expression of the Emotions in Man and Animals

TL;DR: The Expression of the Emotions in Man and Animals Introduction to the First Edition and Discussion Index, by Phillip Prodger and Paul Ekman.
Journal ArticleDOI

An argument for basic emotions

TL;DR: This work has shown that not only the intensity of an emotion but also its direction may vary greatly both in the amygdala and in the brain during the course of emotion regulation.
Journal ArticleDOI

Core Affect and the Psychological Construction of Emotion

TL;DR: At the heart of emotion, mood, and any other emotionally charged event are states experienced as simply feeling good or bad, energized or enervated, which influence reflexes, perception, cognition, and behavior.
Proceedings ArticleDOI

NLTK: The Natural Language Toolkit

TL;DR: The Natural Language Toolkit has been rewritten, simplifying many linguistic data structures and taking advantage of recent enhancements in the Python language.
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