Facial expression of pain: An evolutionary account
By Amanda C. de C. Williams. Behavioral and Brain Sciences, 2002
614 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Genetics, Social Psychology
View Paper: https://www.semanticscholar.org/paper/09439a1ccb55a84ff6048822a0e117ff6b8dce38
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Maja Pantic
- Michel François Valstar
- Bihan Jiang
- Brais Martínez
- Alessandro Vinciarelli
- Hervé Bourlard
- Jean Decety
- Kenneth D. Craig
In Genetics
- Maja Pantic
- Michel François Valstar
- Jean Decety
- Kenneth D. Craig
- Philip L. Jackson
- Amanda C. de C. Williams
In Social Psychology
- Jean Decety
- Philip L. Jackson
- Tania Singer
- Michel François Valstar
- Maja Pantic
- Claus Lamm
- Yawei Cheng
- Chia-Yan Yang
Citations in the corpus
- The functional architecture of human empathy. (2004, background): “By virtue of its aversiveness, pain serves to promote the organism’s health and integrity (Williams, 2002).”
- The Rat Grimace Scale: A partially automated method for quantifying pain in the laboratory rat via facial expressions (2011, background): “The evolutionary stability of facial expression [7,8] would clearly predict that the MGS could be translated to the rat.”
- Defining and assessing animal pain (2014, neutral): “…that such complex responses that are observed alongside other potential indices of pain demonstrate higher processing (i.e. experience), we currently have limited objective evidence that the behaviour reflects an integrated response to external stimuli and relates directly to an affective state.”
- Transcranial magnetic stimulation highlights the sensorimotor side of empathy for pain (2005, background): “, the ability to understand and to experience indirectly the pain of others is fundamental to social tie”
- IExpressNet: Facial Expression Recognition with Incremental Classes (2020, background): “However, facial expression recognition (FER) provides more insights for humans’ behaviors, which is essential to various human-computer interaction applications like sociable robotics [7], medical care [69], and driver fatigue surveillance [76].”
- Fully Automatic Recognition of the Temporal Phases of Facial Actions (2012, methodology): “temporal dynamics are essential for the categorization of complex psychological states like various types of pain and mood [24].”
- Social signal processing: Survey of an emerging domain (2009, background): “As AUs are independent of interpretation, they can be used for any higher order decision making process including recognition of basic emotions (EMFACS; see [48]), cognitive states like interest and puzzlement [32], psychological states like suicidal depression [50] or pain [212], social behaviours ”
- Physicians down-regulate their pain empathy response: An event-related brain potential study (2010, background): “Pain itself signals a potential threat in the environment and urges individuals to escape or avoid its source (Williams, 2002).”
- Updating the definition of pain. (2016, background): “Facial and other behavioral expression of pain are also multidimensional—for example, facial expression can disclose various emotional and motivational states, as well as cognitive features, such as intentions, efforts at problem solving, and social reactions.(41)”
- Human computing and machine understanding of human behavior: a survey (2006, background): “For instance, it has been shown that facial expression temporal dynamics are essential for categorization of complex psychological states like various types of pain and mood [88] and for interpretation of social behaviors like social inhibition, embarrassment, amusement, and shame [16].”
- Automatic Analysis of Facial Actions: A Survey (2019, background): “Dynamics are essential for the categorisation of complex psychological states like various types of pain and mood [55], [200].”