Darwin, Deception, and Facial Expression

By Paul Ekman. Annals of the New York Academy of Sciences, 2003

648 citations recorded by the source corpus.

Subfields: Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ccab7135aa1410744d62830955d8c4c2d2bc7350

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Citations in the corpus

Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms (2021, background): “Studies have also shown that micro-expressions may contain all or only part of the muscle movements that make up common expressions [24], [25], [26].”
Social signal processing: Survey of an emerging domain (2009, background): “, cues accompanying speech like raised eyebrows) [8][46][47].”
Would I lie to you? ''leakage'' in deceptive facial expressions relates to psychopathy and emotional intelligence (2011, methodology): “Collectively, these two propositions form the inhibition hypothesis (Ekman, 2003, 2009), a proposal with major theoretical and applied implications but one that has hardly been examined (cf. Porter & ten Brinke, 2008; Porter, ten Brinke and Wallace, submitted).”
Emotional expressivity as a signal of cooperation (2010, background): “First, intentionally producing both negative and positive emotions would be more difficult than simply producing positive emotions alone (Ekman, 2003; Ekman, Roper, & Hager, 1980; Porter & ten Brinke, 2008).”
How Fast are the Leaked Facial Expressions: The Duration of Micro-Expressions (2013, background): “Micro-expression is usually defined as a brief facial movement revealing an emotion that a person tries to conceal (Ekman 2006; Ekman and Friesen 1969).”
The Emotional Lives of Companion Animals: Attachment and Subjective Claims by Owners of Cats and Dogs (2016, background): “In the third section, the respondents were given a list of six primary (anger, joy [happiness], fear, surprise, disgust, and sadness) and four secondary emotions (shame, jealousy, disappointment, compassion) as described by Ekman (2003).”
Emotional information processing in repressors: The vigilance–avoidance theory (2007, background): “However, there is evidence (but not based on repressors) indicating that cognitive biases can influence physiological responding (eg, Speisman, Lazarus, Mordkoff, & Davison, 1964 ) and that controlled processes can influence behaviour in terms of facial expression (eg, Ekman, 2003 ).”
Analysing Affective Behavior in the First ABAW 2020 Competition (2020, neutral): “The most frequently used emotion representation is the categorical one, including the seven basic categories, i.e., Anger, Disgust, Fear, Happiness, Sadness, Surprise and Neutral [9].”
A Spontaneous Micro-expression Database: Inducement, collection and baseline (2013, background): “In his next papers [4]– [6], Ekman indicated that micro-expressions are important clues for detecting lies, as they usually occur in high-stake situations where people would have serious consequences if they were caught lying or cheating –for example when the suspect is interrogated by a police offi”
An Evolutionary Approach to Emotional Communication (2013, background): “Third, there have been tentative answers to the issue of the honesty of emotional communication (e.g., Mortillaro et al., 2012; Mehu et al., 2012; Owren and Bachorowski, 2001; Hauser, 1997; Ekman, 2003b) but none are wholly satisfactory, for reasons we shall document.”
CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces (2013, background): “Haggard and Isaacs first discovered micro-expression (micromomentary expression) and considered it as repressed emotions [3][4].”
The truth about lies: What works in detecting high‐stakes deception? (2010, background): “Collectively, these propositions form the inhibition hypothesis (Ekman, 2003) which, although widely-assumed, was not directly examined until recently.”
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods (2015, background): “In the following decades, Ekman and his colleague continued researchingMEs [1], [7], [8].”
Automatic Analysis of Facial Actions: A Survey (2019, background): “They are also a key parameter in differentiating between posed and spontaneous facial displays ([65], [64], [38], [56]), and the interpretation of expressions in general [6].”