journal article·2024-09-12Open access

How Immersed Are You? State of the Art of the Neurophysiological Characterization of Embodiment in Mixed Reality for Out-of-the-Lab Applications

Vincenzo Ronca, Alessia Ricci, Rossella Capotorto, Luciano Di Donato, Daniela Freda, Marco Pirozzi, Eduardo Palermo, Luca Mattioli, Giuseppe Di Gironimo, Domenico Coccorese, Sara Buonocore, Francesca Massa, Daniele Germano, Gianluca Di Flumeri, Gianluca Borghini, Fabio Babiloni, Pietro Aricò

Applied Sciences· Volume 14· Issue 18

Abstract

Mixed Reality (MR) environments hold immense potential for inducing a sense of embodiment, where users feel like their bodies are present within the virtual space. This subjective experience has been traditionally assessed using subjective reports and behavioral measures. However, neurophysiological approaches offer unique advantages in objectively characterizing embodiment. This review article explores the current state of the art in utilizing neurophysiological techniques, particularly Electroencephalography (EEG), Photoplethysmography (PPG), and Electrodermal activity (EDA), to investigate the neural and autonomic correlates of embodiment in MR for out-of-the-lab applications. More specifically, it was investigated how EEG, with its high temporal resolution, PPG, and EDA, can capture transient brain activity associated with specific aspects of embodiment, such as visuomotor synchrony, visual feedback of a virtual body, and manipulations of virtual body parts. The potential of such neurophysiological signals to differentiate between subjective experiences of embodiment was discussed, with a particular regard to identify the neural and autonomic markers of early embodiment formation during MR exposure in real settings. Finally, the strengths and limitations of the neurophysiological approach in the context of MR embodiment research were discussed, in order to achieve a more comprehensive understanding of this multifaceted phenomenon.
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Research context

OpenAlex topics: Virtual Reality Applications and Impacts · Action Observation and Synchronization · Visual perception and processing mechanisms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy

BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy

Department of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome, 00185 Rome, Italy

Department of Technological Innovations and Safety of Plants, Products and Anthropic Settlements, Istituto Nazionale per l’Assicurazione contro gli Infortuni sul Lavoro (INAIL), 00144 Rome, Italy

Department of Mechanical and Aerospace Engineering, “Sapienza” University of Rome, 00185 Rome, Italy

Department of Industrial Engineering (DII), University of Naples Federico II, P.le Tecchio 80, 80125 Naples, Italy

Department of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy

Department of Physiology and Pharmacology “Vittorio Erspamer”, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy

College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310005, China

Funding

National Institute for Insurance against Accidents at Work · Sapienza-Rome Technopole per Attrazione di early-career researchers MSCA Fellowships 2023

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