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dc.contributor.authorSchneevogt, Daniela-
dc.contributor.authorPaggio, Patrizia-
dc.date.accessioned2022-12-14T06:24:05Z-
dc.date.available2022-12-14T06:24:05Z-
dc.date.issued2016-
dc.identifier.citationSchneevogt, D., & Paggio, P. (2016, December). The Effect of Gender and Age Differences on the Recognition of Emotions from Facial Expressions. Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES), Japan. 11-19.en_GB
dc.identifier.isbn9784879747235-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/104360-
dc.description.abstractRecent studies have demonstrated gender and cultural differences in the recognition of emotions in facial expressions. However, most studies were conducted on American subjects. In this paper, we explore the generalizability of several findings to a non-American culture in the form of Danish subjects. We conduct an emotion recognition task followed by two stereotype questionnaires with different genders and age groups. While recent findings (Krems et al., 2015) suggest that women are biased to see anger in neutral facial expressions posed by females, in our sample both genders assign higher ratings of anger to all emotions expressed by females. Furthermore, we demonstrate an effect of gender on the fear-surprise-confusion observed by Tomkins and McCarter (1964); females overpredict fear, while males overpredict surprise.en_GB
dc.language.isoenen_GB
dc.publisherPEOPLESen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectFacial expression -- Data processingen_GB
dc.subjectHuman-computer interactionen_GB
dc.subjectOnline social networks -- Psychological aspects -- Denmarken_GB
dc.subjectSex differences in mass mediaen_GB
dc.titleThe effect of gender and age differences on the recognition of emotions from facial expressionsen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameWorkshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES)en_GB
dc.bibliographicCitation.conferenceplaceOsaka, Japan. 12/12/2016.en_GB
dc.description.reviewedpeer-revieweden_GB
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