Giovanni Bolettieri
Unveiling Human Emotions: Analysing Emotional Contagion through Electrodermal Activity via Machine Learning Techniques.
Rel. Federica Marcolin, Alessia Celeghin, Elena Carlotta Olivetti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2024
Abstract
Emotions are often conceptualized as a complex and structured family, organized within a meaningful hierarchy. Regardless, basic emotions are considered innate, meaning that they are inherent to individuals, and thus, in any social interaction, there will inevitably be some exposure to emotion. It is an instinctive tendency for humans to synchronize with the emotional states they perceive during interactions. Evidence suggests that emotions can indeed be contagious, leading to both mental and physical arousal (Schachter and Singer, 1962). Beginning with the seminal work of William James and Carl Lange in 1884, the periphery-feedback theory of emotion established a foundational understanding of the correlation between physiological changes and emotional shifts.
However, it left unresolved questions regarding the mechanisms translating stimuli events into peripheral physiological changes and the subsequent internal link to emotional arousal
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