Computerized Facial Emotion Expression Recognition

Geiger, Mattis; Wilhelm, Oliver

doi:10.1007/978-3-030-31620-4_3

Cited by 2 publications

(7 citation statements)

References 28 publications

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“…The idea of emotions serving a communicative function is proposed by most theories of emotion. Throughout this paper, we will focus on the facial domain of emotion communication, because this is the only expressive domain in which objective systems to evaluate facial expressions currently exist ( Geiger and Wilhelm 2019 ).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, prior work with this approach was not multivariate enough to allow for estimating latent factors. And, lastly, human raters, even Facial Action Coding-trained ones, are not as objective in their rating as computer software would be ( Geiger and Wilhelm 2019 ).…”

Section: Introductionmentioning

confidence: 99%

“…Although well-trained human raters (e.g., FACS [Facial Action Coding System; Ekman and Friesen 1978 ]-trained) can achieve high interrater reliabilities (e.g., Zhang et al 2014 ), their ratings are less objective than perfectly replicable ratings from a machine, and machines achieve equal or higher accuracy scores compared with human raters ( Krumhuber et al 2019 , 2021 ). Additionally, machine ratings are cheaper and quicker than human raters, allowing for analyses in higher time resolution and for more recordings in large samples ( Geiger and Wilhelm 2019 ). Therefore, we use state-of-the-art emotion recognition software to score the posed facial expressions of test takers.…”

Section: Introductionmentioning

confidence: 99%

“…Human raters, as typically used in FACS, are neither efficient nor objective enough to evaluate millions of frames of facial expressions. However, FACS has inspired the development of numerous facial expression recognition software programs (for a review, see Corneanu et al 2016 ) that solve the problems of human ratings and have been shown to be valid and reliable tools for research ( Dupré et al 2020 ; Geiger and Wilhelm 2019 ; Krumhuber et al 2019 ; Kulke et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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“Show Me What You Got”: The Nomological Network of the Ability to Pose Facial Emotion Expressions

Geiger,

Olderbak,

Wilhelm

2024

J. Intell.

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Just as receptive emotional abilities, productive emotional abilities are essential for social communication. Although individual differences in receptive emotional abilities, such as perceiving and recognizing emotions, are well-investigated, individual differences in productive emotional abilities, such as the ability to express emotions in the face, are largely neglected. Consequently, little is known about how emotion expression abilities fit in a nomological network of related abilities and typical behavior. We developed a multitask battery for measuring the ability to pose emotional expressions scored with facial expression recognition software. With three multivariate studies (n1 = 237; n2 = 141; n3 = 123), we test competing measurement models of emotion posing and relate this construct with other socio-emotional traits and cognitive abilities. We replicate the measurement model that includes a general factor of emotion posing, a nested task-specific factor, and emotion-specific factors. The emotion-posing ability factor is moderately to strongly related to receptive socio-emotional abilities, weakly related to general cognitive abilities, and weakly related to extraversion. This is strong evidence that emotion posing is a cognitive interpersonal ability. This new understanding of abilities in emotion communication opens a gateway for studying individual differences in social interaction.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

“Show Me What You Got”: The Nomological Network of the Ability to Pose Facial Emotion Expressions

Geiger,

Olderbak,

Wilhelm

2024

J. Intell.

View full text Add to dashboard Cite

show abstract

“…These techniques have developed and improved considerably in the last three decades and may overcome the drawbacks and time consumption associated with the facial action coding system and the technical difficulties of facial electromyography. Recently, automated computer-based technologies have demonstrated sufficient reliability (e.g., [ 5 , 6 ]), and their accuracy may surpass that of human raters in many cases [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Viewing Natural vs. Urban Images and Emotional Facial Expressions: An Exploratory Study

Franěk

Petružálek

2021

IJERPH

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There is a large body of evidence that exposure to simulated natural scenes has positive effects on emotions and reduces stress. Some studies have used self-reported assessments, and others have used physiological measures or combined self-reports with physiological measures; however, analysis of facial emotional expression has rarely been assessed. In the present study, participant facial expressions were analyzed while viewing forest trees with foliage, forest trees without foliage, and urban images by iMotions’ AFFDEX software designed for the recognition of facial emotions. It was assumed that natural images would evoke a higher magnitude of positive emotions in facial expressions and a lower magnitude of negative emotions than urban images. However, the results showed only very low magnitudes of facial emotional responses, and differences between natural and urban images were not significant. While the stimuli used in the present study represented an ordinary deciduous forest and urban streets, differences between the effects of mundane and attractive natural scenes and urban images are discussed. It is suggested that more attractive images could result in more pronounced emotional facial expressions. The findings of the present study have methodological relevance for future research. Moreover, not all urban dwellers have the possibility to spend time in nature; therefore, knowing more about the effects of some forms of simulated natural scenes surrogate nature also has some practical relevance.

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Computerized Facial Emotion Expression Recognition

Cited by 2 publications

References 28 publications

“Show Me What You Got”: The Nomological Network of the Ability to Pose Facial Emotion Expressions

“Show Me What You Got”: The Nomological Network of the Ability to Pose Facial Emotion Expressions

Viewing Natural vs. Urban Images and Emotional Facial Expressions: An Exploratory Study

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