The functional basis of face evaluation

By Nikolaas N. Oosterhof, Alexander Todorov. Proceedings of the National Academy of Sciences of the United States of America, 2008

1,758 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/1ebd8d2863b23a90a36985f9a25c5d431e39612c

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In Cognitive Neuroscience

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Citations in the corpus

The Caucasian and North African French Faces (CaNAFF): A Face Database (2018, background): “It is now well established that faces provide a lot of information for making assumptions about people and their characteristics (e.g. Oosterhof & Todorov, 2008; Willis & Todorov, 2006).”
Valid Facial Cues to Cooperation and Trust (2010, background): “It is possible that overgeneralization of emotion perception, where the similarity of an individual’s neutral expression to standard expressions such as anger or happiness biases impressions of traits (Montepare & Dobish, 2003; Oosterhof & Todorov, 2008), may influence decisions on whether to trust.”
Mechanisms of social cognition. (2012, background): “This information relates to dispositions such as dominance and trustworthiness (Oosterhof & Todorov 2008).”
The dynamics of warmth and competence judgments, and their outcomes in organizations (2011, background): “…and ability to harm, respectively, Todorov and colleagues theorize that the centrality of these two dimensions in STIs reflects an ―overgeneralization of adaptive mechanisms for inferring harmful intentions and ability to cause harm‖ (Todorov, 2008; Todorov et al., 2008; Oosterhof & Todorov, 2008).”
Voice pitch influences voting behavior (2012, methodology): “This approach has been used previously to identify underlying dimensions from trait judgments of faces (Oosterhof & Todorov, 2008).”
Does a competent leader make a good friend? Conflict, ideology and the psychologies of friendship and followership (2015, methodology): “The faces were taken from an open access data base kept by Alexander Todorov (Oosterhof & Todorov, 2008) and tested for differences on our four focal traits: attractiveness, friendliness, physical strength, and dominance.”
Elected in 100 milliseconds: Appearance-Based Trait Inferences and Voting (2010, methodology): “The exact procedures for generating faces are described in Oosterhof and Todorov (2008).”
Interpreting CNN Models for Apparent Personality Trait Regression (2017, background): “In [13] authors focused the trait judgments on facial images.”
Political Ideology at Face Value (2010, background): “Based on the finding that face evaluations can be sufficiently described using the two dimensions of trustworthiness and dominance (Oosterhof & Todorov, 2008) and the evidence that dominance is related to rightwing ideology (Sidanius & Pratto, 1999), dominance might mediate the accuracy of…”
The Biology of Trust: Integrating Evidence From Genetics, Endocrinology, and Functional Brain Imaging (2012, background): “…in Internet environments is that during an interaction, a partner’s face, which is typically not observable in computer-mediated interaction, serves the interpersonal function of allowing one person to predict another’s personality traits and behavior (Knutson, 1996; Oosterhof & Todorov, 2008).”
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face (2015, background): “Furthermore, research in social psychology suggests that people also make inference about persistent social traits such as “trustworthy” or “dominant” from facial appearance [5, 25].”
Perceived Conflict and Leader Dominance: Individual and Contextual Factors Behind Preferences for Dominant Leaders (2017, methodology): “Note: Faces reused from Laustsen & Petersen (2016) and originally taken from the open access face database created by Oosterhof and Todorov (2008).”
Understanding evaluation of faces on social dimensions. (2008, methodology): “evaluation. The changes in features were implemented in a computer model based on trustworthiness and dominance judgments of n = 300 emotionally neutral faces [ 20 ].”