Forced facial expression – the effect of different emotions and temporal patterns
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Abstract
In recent years, the importance of facial
expression patterns has been recognized, e.g. in information
society, neuroscience. In the present paper, forced facial
expression patterns were studied by the means of the
FaceReader 8.1 system. Human subjects were asked to mimic
FEEST-related static facial expressions over 4 seconds each, and
their expression was registered and analyzed. The temporal
dynamics of a positive and negative valence expression,
happiness and anger was analyzed, altogether with arousal data.
General linear model was used to establish statistical differences.
A significant interaction occurred between the content of input
emotion (happiness/anger) and the temporal patterns (expressed
anger, happiness, valence). The interaction was not significant in
the case of the measured arousal. Our data indicate the
importance of studying forced facial expression patterns in the
interpretation of complex emotional stimuli. In recent years, the importance of facial
expression patterns has been recognized, e.g. in information
society, neuroscience. In the present paper, forced facial
expression patterns were studied by the means of the
FaceReader 8.1 system. Human subjects were asked to mimic
FEEST-related static facial expressions over 4 seconds each, and
their expression was registered and analyzed. The temporal
dynamics of a positive and negative valence expression,
happiness and anger was analyzed, altogether with arousal data.
General linear model was used to establish statistical differences.
A significant interaction occurred between the content of input
emotion (happiness/anger) and the temporal patterns (expressed
anger, happiness, valence). The interaction was not significant in
the case of the measured arousal. Our data indicate the
importance of studying forced facial expression patterns in the
interpretation of complex emotional stimuli.
- Title
- Forced facial expression – the effect of different emotions and temporal patterns
- xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
- 5.
- Author
- Halász, József
- Peukert, Erika
- Lukács, Edina
- Mahler, Anikó
- xmlui.dri2xhtml.METS-1.0.item-contributor-editor
- Petőné Csuka, Ildikó
- xmlui.dri2xhtml.METS-1.0.item-date-issued
- 2021
- xmlui.dri2xhtml.METS-1.0.item-rights-access
- Open access
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
- AIS 2021 16th International Symposium on Applied Informatics and Related Areas
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
- 2021. November 11.
- xmlui.dri2xhtml.METS-1.0.item-language
- en
- xmlui.dri2xhtml.METS-1.0.item-format-page
- 5 p.
- xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
- emotions, facial expressions, recognition system, stimulus intensity
- xmlui.dri2xhtml.METS-1.0.item-description-version
- Kiadói változat
- xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
- AIS 2021 16th International Symposium on Applied Informatics and Related Areas Proceedings
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
- 2021
- xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
- 978-963-449-263-4
- xmlui.dri2xhtml.METS-1.0.item-type-type
- Konferenciaközlemény
- xmlui.dri2xhtml.METS-1.0.item-subject-area
- Bölcsészettudományok - pszichológiai tudományok
- xmlui.dri2xhtml.METS-1.0.item-publisher-university
- Óbudai Egyetem
- xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
- Alba Regia Műszaki Kar