Thesis etd-09202024-110518 |
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Thesis type
Tesi di laurea magistrale
URN
etd-09202024-110518
Thesis title
Il ruolo dell'accoppiamento fisiologico nelle dinamiche sociali: applicazione della causalità di Granger ai segnali di conduttanza cutanea
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
INGEGNERIA BIOMEDICA
Supervisors
.
relatore Dott. Greco, Alberto
correlatore Dott. Callara, Alejandro Luis
correlatore Dott. Callara, Alejandro Luis
Keywords
- electrodermal activity
- Granger causality
- physiological synchronization
- social interactions
Graduation session start date
08/10/2024
Availability
Withheld
Release date
08/10/2064
Abstract (Inglese)
Abstract (Italiano)
Questa tesi esplora il ruolo dell'accoppiamento elettrofisiologico nelle interazioni sociali attraverso l'applicazione dei metodi di Granger causality ai segnali EDA (Electrodermal Activity). Le variazioni della conduttanza cutanea, associate alla sudorazione in risposta a stimoli socio-emotivi, sono state registrate durante le interazioni tra i soggetti, consentendo di analizzare il grado di sincronia tra i loro segnali. In particolare, la Granger causality è stata utilizzata per stimare l'entità dell'accoppiamento fisiologico nei segnali EDA e per analizzare le relazioni causali tra le risposte emotive degli individui. Questo ha permesso di inferire la forza della loro connessione psicologica e, in generale, di comprendere meglio le dinamiche psico-emotive dell'interazione.
This thesis explores the role of electrophysiological coupling in social interactions through the application of Granger causality methods to EDA (Electrodermal Activity) signals. Variations in skin conductance, associated with sweating in response to socio-emotional stimuli, were recorded during interactions between subjects, allowing for an analysis of the degree of synchronization in their signals. Specifically, Granger causality was used to estimate the extent of physiological coupling in the EDA signals and to analyze the causal relationships between individuals' emotional responses. This allowed for inferences regarding the strength of the psychological connection between individuals and, more broadly, helped to capture the psycho-emotional dynamics of the interaction.
This thesis explores the role of electrophysiological coupling in social interactions through the application of Granger causality methods to EDA (Electrodermal Activity) signals. Variations in skin conductance, associated with sweating in response to socio-emotional stimuli, were recorded during interactions between subjects, allowing for an analysis of the degree of synchronization in their signals. Specifically, Granger causality was used to estimate the extent of physiological coupling in the EDA signals and to analyze the causal relationships between individuals' emotional responses. This allowed for inferences regarding the strength of the psychological connection between individuals and, more broadly, helped to capture the psycho-emotional dynamics of the interaction.
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