A novel neurophysiological approach to evaluate the impact of virtual training on skills acquisition
CTI provides a psychologically grounded, multivariate EEG marker that tracks training progression and aligns with operationally meaningful outcomes, namely procedural accuracy and perceived workload, rather than task speed alone. This approach supports objective comparison of cognitive adaptation across training modalities and provides a practical basis for neurophysiologically informed training evaluation and future adaptive training systems.
Authors
- Gianluca Di Flumeri (ORCID: https://orcid.org/0000-0003-4426-051X)
- Pietro Aricò
- Gianluca Borghini (ORCID: https://orcid.org/0000-0001-8560-5671)
- A. Giorgi
- Vincenzo Ronca
Institutions
- Oregon State University (US)
- Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro (IT)
- University of Naples Federico II (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1088/1741-2552/ae5a06
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sapienza Università di Roma
- Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro