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Updated: Jun 21, 2025

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Virtual Reality Experiments with Physiological Measures
Published on: August 29, 2018
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IAVRS-International Affective Virtual Reality System: Psychometric Assessment of 360° Images by Using
Valentina Mancuso1, Francesca Borghesi2, Alice Chirico3
1Faculty of Psychology, eCampus University, 22060 Novedrate, Italy.
Sensors (Basel, Switzerland)
|July 13, 2024
Summary
Virtual Reality (VR) effectively elicits emotions using 360° images. This study validated a new VR database, showing strong links between dimensional and discrete emotion models and physiological responses.
Area of Science:
- Psychology
- Computer Science
- Neuroscience
Background:
- Virtual Reality (VR) is a powerful tool for inducing emotions due to its immersive nature.
- Existing VR emotion databases primarily use a dimensional approach and lack concurrent physiological data.
- Novel VR formats like 360° videos offer new possibilities for controlled emotional experiences.
Purpose of the Study:
- To validate a new database of 360° images for emotion elicitation using both dimensional and discrete emotional models.
- To assess emotional responses through self-reporting, psychophysiological signals, and eye tracking.
- To explore the relationship between dimensional and discrete emotion models and their physiological correlates.
Main Methods:
- Twenty-six participants were exposed to 46 immersive 360° images.
- Emotional reactions were measured using self-report questionnaires.
- Psychophysiological signals (e.g., heart rate, skin conductance) and eye-tracking data were collected concurrently.
Main Results:
- The IAVRS database successfully elicited a broad spectrum of emotions, encompassing varied valence and arousal levels.
- A significant correspondence was observed between discrete and dimensional emotion models.
- Images showing convergence between both models demonstrated particularly strong effects on arousal and valence.
Conclusions:
- The IAVRS database is a valuable resource for emotion elicitation research in VR.
- Findings highlight the interplay between dimensional and discrete emotion theories and their physiological underpinnings.
- This study underscores the complexity of emotion induction in VR and the need for further investigation into physiological correlates.

