Emotion Elicitation Under Audiovisual Stimuli Reception: Should Artificial Intelligence Consider the Gender Perspective?

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dc.contributor.author Blanco Ruiz, María Ángeles
dc.contributor.author Sainz de Baranda Andújar, Clara
dc.contributor.author Gutiérrez Martín, Laura
dc.contributor.author Romero Perales, Elena
dc.contributor.author López Ongil, Celia
dc.date.accessioned 2021-04-06T11:27:55Z
dc.date.available 2021-04-06T11:27:55Z
dc.date.issued 2020-11-02
dc.identifier.bibliographicCitation Blanco-Ruiz, M., Sainz-de-Baranda, C., Gutiérrez-Martín, L., Romero-Perales, E., López-Ongil, C. (2020). Emotion Elicitation Under Audiovisual Stimuli Reception: Should Artificial Intelligence Consider the Gender Perspective? International Journal of Environmental Research and Public Health, 17(22), 8534
dc.identifier.issn 1660-4601 (online)
dc.identifier.issn 1661-7827 (print)
dc.identifier.uri http://hdl.handle.net/10016/32274
dc.description.abstract Identification of emotions triggered by different sourced stimuli can be applied to automatic systems that help, relieve or protect vulnerable groups of population. The selection of the best stimuli allows to train these artificial intelligence-based systems in a more efficient and precise manner in order to discern different risky situations, characterized either by panic or fear emotions, in a clear and accurate way. The presented research study has produced a dataset of audiovisual stimuli (UC3M4Safety database) that triggers a complete range of emotions, with a high level ofagreement and with a discrete emotional categorization, as well as quantitative categorization in the Pleasure-Arousal-Dominance Affective space. This database is adequate for the machine learning algorithms contained in these automatic systems. Furthermore, this work analyses the effects of gender in the emotion elicitation under audiovisual stimuli, which can help to better design the final solution. Particularly, the focus is set on emotional responses to audiovisual stimuli reproducing situations experienced by women, such as gender-based violence. A statistical study of genderdifferences in emotional response was carried out on 1332 participants (811 women and 521 men).The average responses per video is around 84 (SD = 22). Data analysis was carried out with RStudio®.
dc.description.sponsorship This work has been partially supported by the Department of Research and Innovation of Madrid Regional Authority, in the EMPATIA-CM research project (reference Y2018/TCS-5046) and ARTEMISA-CM-UC3M (reference: 2020/00048/001).
dc.format.extent 22
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2020 by the authors
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Emotion elicitation
dc.subject.other Audiovisual stimuli
dc.subject.other Gender
dc.subject.other Pleasure-Arousal-Dominance affective space (Pad Space)
dc.subject.other Machine Learning
dc.subject.other Uc3m4safety Database
dc.title Emotion Elicitation Under Audiovisual Stimuli Reception: Should Artificial Intelligence Consider the Gender Perspective?
dc.type article
dc.subject.eciencia Electrónica
dc.identifier.doi https://doi.org/10.3390/ijerph17228534
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. Y2018/TCS-5046
dc.relation.projectID Comunidad de Madrid. ARTEMISA-CM-UC3M
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 22
dc.identifier.publicationlastpage 22
dc.identifier.publicationtitle International Journal of Environmental Research and Public Health
dc.identifier.publicationvolume 17
dc.identifier.uxxi AR/0000027450
dc.contributor.funder Comunidad de Madrid
dc.relation.dataset https://doi.org/10.21950/LUO1IZ
dc.relation.dataset https://doi.org/10.21950/CXAAHR
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