A Psychometric Evaluation of the Facial Action Coding System for Assessing Spontaneous Expression

A Psychometric Evaluation of the Facial Action Coding System for Assessing Spontaneous Expression (2001)

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by Michael A. Sayette , Jeffrey F. Cohn , Joan M. Wertz , Michael A. Perrott , Dominic J. , Dominic J. Parrott

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Datum	Value	Source
TITLE	A Psychometric Evaluation of the Facial Action Coding System for Assessing Spontaneous Expression	user correction - Legacy Corrections
AUTHOR NAME	Michael A. Sayette	user correction - Legacy Corrections
AUTHOR AFFIL	University of Pittsburgh	user correction - Legacy Corrections
AUTHOR NAME	Jeffrey F. Cohn	user correction - Legacy Corrections
AUTHOR AFFIL	University of Pittsburgh	user correction - Legacy Corrections
AUTHOR NAME	Joan M. Wertz	user correction - Legacy Corrections
AUTHOR AFFIL	University of Pittsburgh	user correction - Legacy Corrections
AUTHOR NAME	Michael A. Perrott	user correction - Legacy Corrections
AUTHOR AFFIL	University of Pittsburgh	user correction - Legacy Corrections
AUTHOR NAME	Dominic J.	user correction - Legacy Corrections
AUTHOR NAME	Dominic J. Parrott	user correction - Legacy Corrections
AUTHOR AFFIL	University of Pittsburgh	user correction - Legacy Corrections
ABSTRACT	The Facial Action Coding System (FACS) (Ekman & Friesen, 1978) is a comprehensive and widely used method of objectively describing facial activity. Little is known, however, about inter-observer reliability in coding the occurrence, intensity, and timing of individual FACS action units. The present study evaluated the reliability of these measures. Observational data came from three independent laboratory studies designed to elicit a wide range of spontaneous expressions of emotion. Emotion challenges included olfactory stimulation, social stress, and cues related to nicotine craving. Facial behavior was video-recorded and independently scored by two FACS-certified coders. Overall, we found good to excellent reliability for the occurrence, intensity, and timing of individual action units and for corresponding measures of more global emotion-specified combinations.	SVM HeaderParse 0.1
YEAR	2001	user correction - Legacy Corrections
CITATIONS	70 found	ParsCit 1.0