Continuous Time Elicitation Through Virtual Reality to Model Affect Dynamics

Borghesi, Francesca; Murtas, Vittorio; Mancuso, Valentina; Chirico, Alice

doi:10.1007/978-3-031-49368-3_16

Communications in Computer and Information Science

2023

DOI: 10.1007/978-3-031-49368-3_16

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Continuous Time Elicitation Through Virtual Reality to Model Affect Dynamics

Francesca Borghesi,

Vittorio Murtas,

Valentina Mancuso

et al.

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2024

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Cited by 2 publications

References 54 publications

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Linking Affect Dynamics and Well-Being: A Novel Methodological Approach for Mental Health

Simoncini,

Borghesi,

Cipresso

2024

Healthcare

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Emotions are dynamic processes; their variability relates to psychological well-being and psychopathology. Affective alterations have been linked to mental diseases like depression, although little is known about how similar patterns occur in healthy individuals. This study investigates the psychophysiological correlations of emotional processing in healthy subjects, specifically exploring the relationship between depressive traits, cognitive distortions, and facial electromyographic (f-EMG) responses during affective transitions. A cohort of 44 healthy participants underwent f-EMG recording while viewing emotional images from the International Affective Picture System (IAPS). Self-report measures included the Beck Depression Inventory (BDI) and the Cognitive Distortion Scale (CDS). Higher BDI scores were associated with increased EMG activity in the corrugator muscle during transitions between positive and negative emotional states. Cognitive distortions such as Catastrophizing, All-or-Nothing Thinking, and Minimization showed significant positive correlations with EMG activity, indicating that individuals with higher levels of these distortions experienced greater facial muscle activation during emotional transitions. This study’s results indicate that there is a bidirectional correlation between depressed features and cognitive distortions and alterations in facial emotional processing, even in healthy subjects. Facial EMG in the context of dynamic affective transitions has the potential to be used as a non-invasive method for detecting abnormal emotional reactions at an early stage. This might help in identifying individuals who are at risk of developing depression and guide therapies to prevent its advancement.

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Linking Affect Dynamics and Well-Being: A Novel Methodological Approach for Mental Health

Simoncini,

Borghesi,

Cipresso

2024

Healthcare

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IAVRS—International Affective Virtual Reality System: Psychometric Assessment of 360° Images by Using Psychophysiological Data

Mancuso,

Borghesi,

Chirico

et al. 2024

Sensors

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Virtual Reality is an effective technique for eliciting emotions. It provides immersive and ecologically valid emotional experiences while maintaining experimental control. Recently, novel VR forms like 360° videos have been used successfully for emotion elicitation. Some preliminary databases of 360° videos for emotion elicitation have been proposed, but they tapped mainly into an emotional dimensional approach and did not include a concurrent physiological assessment of an emotional profile. This study expands on these databases by combining dimensional and discrete approaches to validate a new set of 360° emotion-inducing images. Twenty-six participants viewed 46 immersive images, and their emotional reactions were measured using self-reporting, psychophysiological signals, and eye tracking. The IAVRS database can successfully elicit a wide range of emotional responses, including both positive and negative valence, as well as different levels of arousal. Results reveal an important correspondence between the discrete and dimensional models of emotions. Furthermore, the images that exhibit convergence between the dimensional and discrete emotional models are particularly impactful regarding arousal and valence values. The IAVRS database provides insights into potential relationships between physiological parameters and emotional responses. This preliminary investigation highlights the complexity of emotional elicitation processes and their physiological correlates, suggesting the need for further research to deepen our understanding.

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Continuous Time Elicitation Through Virtual Reality to Model Affect Dynamics

Cited by 2 publications

References 54 publications

Linking Affect Dynamics and Well-Being: A Novel Methodological Approach for Mental Health

Linking Affect Dynamics and Well-Being: A Novel Methodological Approach for Mental Health

IAVRS—International Affective Virtual Reality System: Psychometric Assessment of 360° Images by Using Psychophysiological Data

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