Accuracy and Latency of Judgment of Facial Expressions of Emotions

Kirouac, Gilles; Doré, François Y.

doi:10.2466/pms.1983.57.3.683

Cited by 101 publications

(86 citation statements)

References 6 publications

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“…Furthermore, disgusted, neutral, and sad middle-aged faces were less accurately identified than young faces displaying those expressions. Also consistent with earlier studies (Kirouac & Dore, 1983;Ruffman et al, 2008), contrast analyses collapsed across young, middle-aged, and older raters showed that identification of happiness was easier than identification of all the other expressions and that identification of disgust was more difficult than identification of all the other expressions in young, middle-aged, and older faces (all ps .05; see Figure 4). …”

Section: Expression Identification As a Function Of Age And Expressiosupporting

confidence: 77%

FACES—A database of facial expressions in young, middle-aged, and older women and men: Development and validation

Ebner

Riediger

Lindenberger

2010

Behavior Research Methods

1,018

866

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Faces are widely used as stimuli in various research fields. Interest in emotion-related differences and ageassociated changes in the processing of faces is growing. With the aim of systematically varying both expression and age of the face, we created FACES, a database comprising N 171 naturalistic faces of young, middle-aged, and older women and men. Each face is represented with two sets of six facial expressions (neutrality, sadness, disgust, fear, anger, and happiness), resulting in 2,052 individual images. A total of N 154 young, middleaged, and older women and men rated the faces in terms of facial expression and perceived age. With its large age range of faces displaying different expressions, FACES is well suited for investigating developmental and other research questions on emotion, motivation, and cognition, as well as their interactions. Information on using FACES for research purposes can be found at

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Section: Expression Identification As a Function Of Age And Expressiosupporting

confidence: 77%

FACES—A database of facial expressions in young, middle-aged, and older women and men: Development and validation

Ebner

Riediger

Lindenberger

2010

Behavior Research Methods

1,018

866

View full text Add to dashboard Cite

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“…However, if anything, participants took longer to identify negative faces than positive ones. This finding is consistent with the general observation that positive facial expressions are identified more quickly and accurately than negative facial expressions when faces are presented within focal attention (Kirouac & Doré, 1983, 1984Mandal & Palchoudhury, 1985;McAndrew, 1986;Stalans & Wedding, 1985). The results are also inconsistent with the other postattentive explanation, which argues that negative faces are found more efficiently than positive faces under full viewing conditions, because observers are more likely to miss the positive rather than the negative target faces.…”

Section: Resultscontrasting

confidence: 49%

What influences visual search efficiency? Disentangling contributions of preattentive and postattentive processes

Smilek

Frischen²,

Reynolds

et al. 2007

Perception & Psychophysics

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“…In contrast, fear and anger obtained the lowest number of correct responses and the longest reaction times. Our findings thus coincide with those from previous studies that observed greater accuracy in detecting happiness than expressions of fear (Juth, Lundqvist, Karlsson, & Ohman, 2005;Kirouac & Dore, 1983), anger (Becker, Anderson, Mortensen, Neufeld, & Neel, 2011;Becker et al, 2012;Juth et al, 2005), and sadness (Srivastava & Srinivasan, 2010). These findings have led researchers to postulate that happy facial expressions are more visually-discriminable, probably because their communicative intent is less ambiguous than that of other expressions (Becker et al, 2011).…”

Section: Emotional Recognitionsupporting

confidence: 81%

Emotional Experience and Recognition across Menstrual Cycle and in Premenstrual Disorder

Ramos-Loyo¹,

Sanz-Martín²

2017

IJPS

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The aim of this study was to determine if differences exist in mood and in the recognition of female and male emotional faces among women in different phases of the menstrual cycle, and in women who suffer from Premenstrual Dysphoric Disorder (PMDD) in the premenstrual phase. Both the emotional states and the recognition of female and male emotional faces were assessed in women in each phase of the menstrual cycle: post-menstrual, ovulatory, post-ovulatory and premenstrual. Also evaluated was a group of women who presented symptoms of PMDD during the premenstrual phase. Only the women with PMDD showed significant changes in levels of unpleasant emotions and anxiety. Regardless of group, the highest accuracy was observed for recognition of happiness and disgust, followed by surprise and sadness. The lowest level of recognition was seen for fear and anger. In addition, expressions of happiness and surprise were recognized better on female faces, while fearful and angry expressions were recognized better on male faces. Finally, women in the ovulatory phase and those with PMDD showed higher accuracy when recognizing sadness on male faces. These results suggest that only women with PMDD presented important differences in their emotional experience compared to the other groups. Finally, the gender of the emotion emitter was a factor that affected the recognition of emotions, an effect that was seen to interact slightly with the menstrual cycle phase.

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Accuracy and Latency of Judgment of Facial Expressions of Emotions

Cited by 101 publications

References 6 publications

FACES—A database of facial expressions in young, middle-aged, and older women and men: Development and validation

FACES—A database of facial expressions in young, middle-aged, and older women and men: Development and validation

What influences visual search efficiency? Disentangling contributions of preattentive and postattentive processes

Emotional Experience and Recognition across Menstrual Cycle and in Premenstrual Disorder

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