Emotions play a critical role in human survival and adaptation, shaping various aspects of life and social interactions. Researchers have extensively investigated human and environmental factors contributing to emotions, their effects on the brain and behavior, and the use of physiological signals to identify and understand the influence of emotions on the central and autonomic nervous systems. Ethically and reliably eliciting emotional responses is crucial for developing systems capable of recognizing, understanding, and responding to human affective states. This research aims at utilizing virtual reality (VR) technology to elicit specific emotions and recognize them through monitoring Skin Conductance (SC) signal. By providing a highly immersive environment, compared to traditional two-dimensional screens, a VR protocol was developed to elicit four basic emotions (sadness, relaxation, happiness, and fear). Four emotional rooms were specifically created and validated with a small group of participants. Subsequently, 37 subjects underwent the protocol while their SC signal was monitored. The SC-based analysis demonstrated its efficacy in discerning patterns associated with different emotions, particularly through the analysis of SC peaks, linked to eccrine gland activity, which successfully distinguished emotions in five out of six comparisons. SC features displayed the ability to differentiate along both arousal and valence dimensions. These findings highlight VR technology as a highly effective tool for emotion elicitation, and suggest its adoption in various fields of psychophysiology and human-machine interaction, potentially replacing conventional two-dimensional video stimuli.

Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal

Polo, Edoardo Maria;Rey, Alberto Valdes;Mollura, Maximiliano;Paglialonga, Alessia;Barbieri, Riccardo
2023-01-01

Abstract

Emotions play a critical role in human survival and adaptation, shaping various aspects of life and social interactions. Researchers have extensively investigated human and environmental factors contributing to emotions, their effects on the brain and behavior, and the use of physiological signals to identify and understand the influence of emotions on the central and autonomic nervous systems. Ethically and reliably eliciting emotional responses is crucial for developing systems capable of recognizing, understanding, and responding to human affective states. This research aims at utilizing virtual reality (VR) technology to elicit specific emotions and recognize them through monitoring Skin Conductance (SC) signal. By providing a highly immersive environment, compared to traditional two-dimensional screens, a VR protocol was developed to elicit four basic emotions (sadness, relaxation, happiness, and fear). Four emotional rooms were specifically created and validated with a small group of participants. Subsequently, 37 subjects underwent the protocol while their SC signal was monitored. The SC-based analysis demonstrated its efficacy in discerning patterns associated with different emotions, particularly through the analysis of SC peaks, linked to eccrine gland activity, which successfully distinguished emotions in five out of six comparisons. SC features displayed the ability to differentiate along both arousal and valence dimensions. These findings highlight VR technology as a highly effective tool for emotion elicitation, and suggest its adoption in various fields of psychophysiology and human-machine interaction, potentially replacing conventional two-dimensional video stimuli.
2023
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings
Emotions
Skin Conductance
Virtual Reality
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1287404
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