The Impact of Perceiving Angry and Fearful Facial Expressions on Decision Making Performance in Threat Situations

Kim, Minue; Sul, Sunhae; Moon, Yangho

doi:10.22172/cogbio.2013.25.4.004

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…In Korea, various face databases comprising only of static face stimuli have been developed and used in a number of studies. For example, the Korea University Facial Expression Collection (KUFEC; Kim et al, 2011) was used to examine the facial recognition ability of clinical populations (Jung et al, 2015; Jang et al, 2016; Kim and Kim, 2016) and the differences in perceiving facial expressions in a non-clinical adult group (Kim et al, 2013). Recently, KUFEC-II, a revised version of KUFEC, has been developed to overcome the limitations of KUFEC in its shooting and selection of stimuli by adopting the Facial Action Coding System (FACS; Ekman et al, 2002) Some Korean databases, such as Extended ChaeLee (Lee et al, 2013) and the Korean Facial Expressions of Emotion (KOFEE) database (Park et al, 2011) have been used in many neuroscience studies with emphasis on the facial perception skills of clinical populations (Kim et al, 2014; Lee et al, 2015; Oh et al, 2016; Park et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of the Yonsei Face Database (YFace DB)

et al. 2019

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The purposes of this study were to develop the Yonsei Face Database (YFace DB), consisting of both static and dynamic face stimuli for six basic emotions (happiness, sadness, anger, surprise, fear, and disgust), and to test its validity. The database includes selected pictures (static stimuli) and film clips (dynamic stimuli) of 74 models (50% female) aged between 19 and 40. Thousand four hundred and eighty selected pictures and film clips were assessed for the accuracy, intensity, and naturalness during the validation procedure by 221 undergraduate students. The overall accuracy of the pictures was 76%. Film clips had a higher accuracy, of 83%; the highest accuracy was observed in happiness and the lowest in fear across all conditions (static with mouth open or closed, or dynamic). The accuracy was higher in film clips across all emotions but happiness and disgust, while the naturalness was higher in the pictures than in film clips except for sadness and anger. The intensity varied the most across conditions and emotions. Significant gender effects were found in perception accuracy for both the gender of models and raters. Male raters perceived surprise more accurately in static stimuli with mouth open and in dynamic stimuli while female raters perceived fear more accurately in all conditions. Moreover, sadness and anger expressed in static stimuli with mouth open and fear expressed in dynamic stimuli were perceived more accurately when models were male. Disgust expressed in static stimuli with mouth open and dynamic stimuli, and fear expressed in static stimuli with mouth closed were perceived more accurately when models were female. The YFace DB is the largest Asian face database by far and the first to include both static and dynamic facial expression stimuli, and the current study can provide researchers with a wealth of information about the validity of each stimulus through the validation procedure.

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