Emotional Induction Through Films: A Model for the Regulation of Emotions

Fernández-Aguilar, Luz; Postigo, José Miguel Latorre; Ros, Laura; Serrano, Juan Pedro; Ricarte, Jorge Javier; Martínez-Rodrigo, Arturo; Zangróniz, Roberto; Pastor, José Manuel; López, María Teresa; Fernández-Caballero, Antonio

doi:10.1007/978-3-319-39687-3_2

Cited by 2 publications

(1 citation statement)

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“…After this trial, participants started an individual session by watching a neutral clip to establish the baseline of the physiological parameters. In total, each participant watched a set of nine film clips including six emotional targets (sadness, disgust, fear, anger, amusement, and tenderness; Fernández‐Aguilar et al ; Fernández‐Aguilar et al ). The order of the film clips was counterbalanced.…”

Section: Methodsmentioning

confidence: 99%

Film mood induction and emotion classification using physiological signals for health and wellness promotion in older adults living alone

et al. 2019

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This paper introduces a wearable hardware/software system specifically tailored to detect seven emotions (neutral, tenderness, amusement, anger, disgust, fear, and sadness) aimed at promoting health and wellness in older adults living alone at home. The complete software and hardware architectures acquiring and processing electrodermal activity and photoplethysmography signals are introduced. The wearable emotion detection system is trained by eliciting the desired emotions on 39 older adults through a film mood induction procedure. Seventeen features are calculated on skin conductance response and heart rate variability data, grouped into five statistical, four temporal, and eight morphological features. Then, these features are used to run emotion classification considering support vector machines, decision trees, and quadratic discriminant analysis. In line with psychological findings, the results offer a global accuracy of 82% in negative emotion (anger, disgust, fear, and sadness) classification. For positive emotions (tenderness and amusement), also in conformity with previous psychological outcomes, amusement shows the highest ratio of hits (92%) but tenderness the lowest one (66%). These results demonstrate that our wearable emotion detection system can be used by ageing adults, especially for detecting negative emotions that usually damage health and wellness and lead to social isolation.

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Section: Methodsmentioning

confidence: 99%