A Novel Mutual Information-Based Approach for Neurophysiological Characterization of Sense of Presence in Virtual Reality

By providing an objective and multimodal framework for measuring sense of presence, this research contributes to advancing VR applications where the sense of presence accurate and reliable assessment is essential. The $\text{SoP}_{\text{MI}}$ index offers potential for enhancing VR design and creating more effective, user-centered immersive experiences.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-02-13
DOI
https://doi.org/10.1109/tbme.2025.3541438
Citations
8
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
11.45
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article

A Novel Mutual Information-Based Approach for Neurophysiological Characterization of Sense of Presence in Virtual Reality

Fabio Babiloni, Pietro Aricò, Vincenzo Ronca
8 citations
IEEE Transactions on Biomedical Engineering
EEG and Brain-Computer Interfaces
11.45
article

A Novel Mutual Information-Based Approach for Neurophysiological Characterization of Sense of Presence in Virtual Reality

Fabio Babiloni, Pietro Aricò, Vincenzo Ronca
article en
8 citations

Abstract

By providing an objective and multimodal framework for measuring sense of presence, this research contributes to advancing VR applications where the sense of presence accurate and reliable assessment is essential. The $\text{SoP}_{\text{MI}}$ index offers potential for enhancing VR design and creating more effective, user-centered immersive experiences.

IEEE Transactions on Biomedical EngineeringVol. 72(8)
Sapienza University of Rome (IT)
Reduced inequalities
Openalex Percentile: Top 1%
EEG and Brain-Computer Interfaces
11.45
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