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Open AccessArticle

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

1
University Institute on Gender Studies, Universidad Carlos III de Madrid, 28903 Getafe, Spain
2
Department of Communication Sciences and Sociology, Faculty of Communication Sciences, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain
3
Department of Communication and Media Studies, Faculty of Humanities, Communication and Library and Science, Universidad Carlos III de Madrid, Getafe, 28903 Madrid, Spain
4
Electronic Technology Department, School of Engineering. Universidad Carlos III de Madrid, Leganés, 28911 Madrid, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(22), 8534; https://doi.org/10.3390/ijerph17228534
Received: 4 September 2020 / Revised: 2 November 2020 / Accepted: 10 November 2020 / Published: 17 November 2020
(This article belongs to the Special Issue Gender Differences in Emotions, Cognition, and Behavior)
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 of agreement 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 gender differences 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®. View Full-Text
Keywords: emotion elicitation; audiovisual stimuli; gender; pleasure-arousal-dominance affective space (PAD space); machine learning; UC3M4Safety database emotion elicitation; audiovisual stimuli; gender; pleasure-arousal-dominance affective space (PAD space); machine learning; UC3M4Safety database
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Blanco-Ruiz, M.; Sainz-de-Baranda, C.; Gutiérrez-Martín, L.; Romero-Perales, E.; López-Ongil, C. Emotion Elicitation Under Audiovisual Stimuli Reception: Should Artificial Intelligence Consider the Gender Perspective? Int. J. Environ. Res. Public Health 2020, 17, 8534.

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