Human Factors

• Simonetti, I., Tamborra, L., Giorgi, A., Ronca, V., Vozzi, A., Aricò, P., Borghini, G., Sciaraffa, N., Trettel, A., Babiloni, F., Picardi, M. & Di Flumeri, G. (2023). Neurophysiological Evaluation of Students’ Experience during Remote and Face-to-Face Lessons: A Case Study at Driving School. Brain Sciences, 13(1), 95.
• Gaia Romana Pellicano, Katie Aafjes-van Doorn, Alessandra Anzolin, Danilo Arnone, Gianluca Borghini (2023). Use of Neuroimaging Techniques for the Prevention, Assessment, and Treatment of Mood Disorders. Frontiers in Psychiatry
• Sciaraffa, N., Di Flumeri, G., Germano, D., Giorgi, A., Di Florio, A., Borghini, G., ... & Aricò, P. (2022). Validation of a light EEG-based measure for real-time stress monitoring during realistic driving. Brain sciences, 12(3), 304
• Sciaraffa, N., Di Flumeri, G., Germano, D., Giorgi, A., Di Florio, A., Borghini, G., ... & Aricò, P. (2022). Evaluation of a new lightweight EEG technology for translational applications of passive brain-computer interfaces. Frontiers in Human Neuroscience, 16
• Di Flumeri, G., Ronca, V., Giorgi, A., Vozzi, A., Aricò, P., Sciaraffa, N., ... & Borghini, G. (2022). EEG-Based Index for Timely Detecting User’s Drowsiness Occurrence in Automotive Applications. Frontiers in Human Neuroscience, 16
• Gianluca Borghini, Pietro Aricó, Gianluca Di Flumeri, Vincenzo Ronca, Andrea Giorgi, Nicolina Sciaraffa, Claudio Conca, Simone Stefani, Paola Verde, Angelo Landolfi, Roberto Isabella, Fabio Babiloni (2022). Air Force Pilot Expertise Assessment with Regard to Mental Effort Requested during Unusual Attitude Recovery Flight Training Simulations. Safety
• Augustin Degas, Mir Riyanul Islam, Christophe Hurter, Shaibal Barua, Hamidur Rahman, Minesh Poudel, Daniele Ruscio, Mobyen Uddin Ahmed, Shahina Begum, Md Aquif Rahman, Stefano Bonelli, Giulia Cartocci, Gianluca Di Flumeri, Gianluca Borghini, Fabio Babiloni, Pietro Aricó. A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory. Applied Sciences, 2022, 12(3), 1295; https://doi.org/10.3390/app12031295
• N Sciaraffa, G Borghini, G Di Flumeri, F Cincotti, F Babiloni, P Aricò. Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task. Brain Sciences 11 (5), 562
• A Giorgi, V Ronca, A Vozzi, N Sciaraffa, A Di Florio, L Tamborra, ... Wearable technologies for mental workload, stress, and emotional state assessment during working-like tasks: a comparison with laboratory technologies. Sensors 21 (7), 2332
• H Zeng, X Li, G Borghini, Y Zhao, P Aricò, G Di Flumeri, N Sciaraffa, ... An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction. Sensors 21 (7), 2369
• Marucci, M., Di Flumeri, G., Borghini, G. Sciaraffa, N., Scandola, M., Pavone, E.F., Babiloni, F., Betti, V. & Aricò, P. The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence. Sci Rep 11, 4831 (2021). https://doi.org/10.1038/s41598-021-84196-8
• Ronca, V.; Giorgi, A.; Rossi, D.; Di Florio, A.; Di Flumeri, G.; Aricò, P.; Sciaraffa, N.; Vozzi, A.; Tamborra, L.; Simonetti, I.; Borghini, G. A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare. Sensors 2021, 21, 1607. https://doi.org/10.3390/s21051607
• Sciaraffa, Nicolina; Liu, Jieqiong; Aricò, Pietro; Flumeri, Gianluca Di; Inguscio, Bianca MS; Borghini, Gianluca; Babiloni, Fabio; ,Multivariate model for cooperation: bridging social physiological compliance and hyperscanning,Social Cognitive and Affective Neuroscience,16,1-2,193-209,2021,Oxford University Press UK
• Alessia Vozzi, Vincenzo Ronca, Dario Rossi, Enrica Modica, Patrizia Cherubino, Ana Martinez, Andrea Giorgi, Bianca Inguscio, Fabio Babiloni, and Giulia Cartocci. Brain Response to Antismoking PSA, an EEG Study. International Journal of Bioelectromagnetism. Vol 2, pp. 1-7.
• Vincenzo Ronca, Alessia Vozzi, Nicolina Sciaraffa, Antonello Di Florio, Luca Tamborra, Ilaria Simonetti, Andrea Giorgi, Pietro Aricò, Gianluca Di Flumeri, Fabio Babiloni, and Gianluca Borghini. Wearable Devices for Neurophysiological Evaluation during Real Working-like Tasks: a Reliability Study. International Journal of Bioelectromagnetism. Vol 2, pp. 8-21. 
• Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri (2020). A Novel Mutual Information based Feature Set for Drivers’ Mental Workload Evaluation Using Machine Learning. Brain Sciences
• Borghini, G., Di Flumeri, G., Aricò, P., Sciaraffa, N., Bonelli, S., Ragosta, M., ... & Ozan, A. (2020). A multimodal and signals fusion approach for assessing the impact of stressful events on Air Traffic Controllers. Scientific Reports, 10(1), 1-18
• Sciaraffa, N., Klados, M. A., Borghini, G., Di Flumeri, G., Babiloni, F., & Aricò, P. (2020). Double-Step Machine Learning Based Procedure for HFOs Detection and Classification. Brain Sciences, 10(4), 220.
• Sebastiani, M., Di Flumeri, G., Aricò, P., Sciaraffa, N., Babiloni, F., & Borghini, G. (2020). Neurophysiological Vigilance Characterisation and Assessment: Laboratory and Realistic Validations Involving Professional Air Traffic Controllers. Brain Sciences, 10(1), 48. 
• Di Flumeri G., De Crescenzio F., Berberian B., Ohneiser O., Kramer J., Aricò P., Borghini G., Babiloni F., Bagassi S., Piastra S. (2019). BCI-based adaptive automation to prevent Out-Of-The-Loop phenomenon in Air Traffic Controllers dealing with highly automated systems. Frontiers in Human Neuroscience. 
• Aricò P., Reynal M., Di Flumeri G., Borghini G., Sciaraffa N., Imbert J.P., Hurter C., Terenzi M., Ferreira A., Pozzi S., Betti V., Marucci M., Telea A., Babiloni F. (2019). How neurophysiological measures can be used to enhance the evaluation of remote tower solutions. Frontiers in Human Neuroscience. 
• Di Flumeri, G., Aricò, P., Borghini, G., Sciaraffa, N., Di Florio, A., & Babiloni, F. (2019). The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability. Sensors, 19(6), 1365. 
• Borghini, G., Aricò, P., Di Flumeri, G., Sciaraffa, N., & Babiloni, F. (2019). Correlation and Similarity between Cerebral and Non-Cerebral Electrical Activity for User’s States Assessment. Sensors, 19(3), 704. 
• Di Flumeri, G., Borghini, G., Aricò, P., Sciaraffa, N., Lanzi, P., Pozzi, S., Vignali, V., Lantieri, C., Bichicchi, A., Simone, A., & Babiloni, F. (2019). EEG-Based Mental Workload Assessment During Real Driving: A Taxonomic Tool for Neuroergonomics in Highly Automated Environments. In Neuroergonomics (pp. 121-126). Academic Press. 
• Di Flumeri, G., Borghini, G., Aricò, P., Sciaraffa, N., Lanzi, P., Pozzi, S., Vignali, V., Lantieri, C., Bichicchi, A., Simone, A., & Babiloni, F. (2018). EEG-based mental workload neurometric to evaluate the impact of different traffic and road conditions in real driving settings. Frontiers in human neuroscience, 12, 509. 
• Aricò, P., Borghini, G., Di Flumeri, G., Sciaraffa, N., & Babiloni, F. (2018). Passive BCI beyond the lab: current trends and future directions. Physiological measurement, 39(8), 08TR02. 
• "Passive BCI in Operational Environments: Insights, Recent Advances and Future trends P Arico, G Borghini, G Di Flumeri, N Sciaraffa, A Colosimo and F Babiloni IEEE Transactions on Biomedical Engineering, 64, 7. 2017"
• "A new perspective for the training assessment: machine-learning-based neurometric for augmented user’s evaluation G Borghini, P Aricò, G Di Flumeri, N Sciaraffa, MT Herrero, A Bezerianos, A Colosimo and F Babiloni. Frontiers in Neuroscience, 11: 325. 2017"
• "EEG-based cognitive control behaviour assessment: an ecological study with professional air traffic controllers G Borghini, P Aricò, G Di Flumeri, G Cartocci, A Colosimo, S Bonelli, and F Babiloni. Scientific reports, 7: 547. 2017"
• "Human factors and neurophysiological metrics in air traffic control: a critical review P Aricò, G Borghini, G Di Flumeri, S Bonelli, A Golfetti, I Graziani, S Pozzi, and F Babiloni. IEEE Reviews in biomedical engineering, PP, 99. 2017"
• Sciaraffa, N., Borghini, G., Aricò, P., Di Flumeri, G., Colosimo, A., Bezerianos, A., Thakor, N., & Babiloni, F. (2017). Brain interaction during cooperation: Evaluating local properties of multiple-brain network. Brain sciences, 7(7), 90. 
• Aricò, P., Borghini, G., Di Flumeri, G., Colosimo, A., Bonelli, S., Golfetti, A., ... & Babiloni, F. (2016). Adaptive automation triggered by EEG-based mental workload index: a passive brain-computer interface application in realistic air traffic control environment. Frontiers in human neuroscience, 10. 
• Modica E, Rossi D, Cherubino P, Trettel A, Kong W, Borghini G, Babiloni F, Aricò P, Colosimo A, Vecchiato G, Maglione A G. On the use of cerebral and emotional measurements for the evaluation of workload during car driving. International Journal of Bioelectromagnetism Vol. 18, No. 2,pp.53-59, 2016. 
• P. Aricò, G. Borghini, G. Di Flumeri, A. Colosimo, S. Pozzi, F. Babiloni. A passive Brain-Computer Interface (p-BCI) application for the mental workload assessment on professional Air Traffic Controllers (ATCOs) during realistic ATC tasks. Progress in brain research (in press, 2016)
• Di Flumeri, G., Borghini, G., Aricò, P., Colosimo, A., Pozzi, S., Bonelli, S., Golfetti, A., Kong, W., & Babiloni, F. (2015). On the use of cognitive neurometric indexes in aeronautic and air traffic management environments. In Symbiotic Interaction (pp. 45-56). Springer International Publishing.
• G. Borghini, P.Aricò, I. Graziani, Y. Sun, F. Taya, A. Bezerianos, N.V. Thakor and F. Babiloni. “Quantitative assessment of the training improvement in a motor-cognitive task by using EEG, ECG and EOG signals”. Brain Topography journal, 2015.
• Di Flumeri, G., Borghini, G., Aricò, P., Colosimo, A., Pozzi, S., Bonelli, S., Golfetti, A., & Babiloni, F. Mental workload evaluation of ATCOs during ecological ATM scenarios. Italian Journal of Aerospace Medicine (IJASM), n. 13, 2015. (Winner of the prize for the best research in the ATC field at the Italian national congress of aerospatial medicine - AIMAS 2015)
• Borghini, G., Vecchiato, G., Aricò, P., Graziani, I., Maglione, A. G., Cherubino, P., & Babiloni, F. (2015). Investigation of the effect of EEG-BCI on the simultaneous execution of flight simulation and attentional tasks. Medical & biological engineering & computing
• P. Aricò, G. Borghini, I. Graziani, J.P. Imbert, G. Granger, R. Benhacene, S. Pozzi, L. Napoletano, G. Di Flumeri, A. Colosimo, F. Babiloni. Air-Traffic-Controllers (ATCo): Neurophysiological analysis of training and workload. Italian Journal of Aerospace in Medicine (IJASM), Jan 2015. (Winner of the prize for the best research in the ATC field at the Italian national congress of aerospatial medicine - AIMAS 2014)
• P. Aricò, G. Borghini, I. Graziani, J.P. Imbert, G. Granger, R. Benhacene, S. Pozzi, L. Napoletano and F. Babiloni, “ATCo: neurophysiological analysis of the training and of the workload”. Journal of Aerospace Medicine. May, 2014. (Winner of the prize for the best research in the ATC field at the Italian national congress of aeronautical and aero-spatial medicine).
• W. Kong, W. Lin, F. Babiloni, S. Hu and G. Borghini. “Investigating Drivers Fatigue versus Alert by Granger Causality Network". Journal name: Sensors, Submitted to section: Physical Sensors. December 2014.
• W. Kong, Z. Zhou, F. Babiloni, S. Hu, G. Dai, J. Zhang and G. Borghini. “Assessment of driving fatigue based on intra/inter-region phase synchronization". IEEE Transactions on Human-Machine Systems. December 2014.
• G. Borghini, P. Arico’, F. Taya, Y. Sun, A. Bezerianos, S. Salinari, F. Cincotti, N. Thakor and F. Babiloni. “Enhanced stability of EEG-based mental workload detection: a machine learning approach". Submitted for publication on Journal of Neural Engineering, November 2014.
• P. Aricò, G. Borghini, I. Graziani, F. Bianchini, F. Cincotti and F. Babiloni. “A brain computer interface system for the online evaluation of ATCs’ workload”. Italian Journal Of Aerospace Medicine. In press. June, 2013.
• G. Borghini, G. Vecchiato, V. Ponzo, G. Koch, R. Isabella, 2012. Improving flight simulation performance by using tDCS stimulation. International Journal of Bioelectromagnetism. Vol. 14 (2), pp. 108 – 114.
• G. Borghini, L. Astolfi, G. Vecchiato, D. Mattia, F. Babiloni, 2012. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neuroscience and Biobehavioral Reviews. 2012 Oct 30. pii: S0149-7634(12)00170-4. doi: 10.1016/j.neubiorev.2012.10.003.
• G. Borghini, R. Isabella, G. Vecchiato, J. Toppi, L. Astolfi, C. Caltagirone and F. Babiloni, 2012. A Flight history from a cognitive point of view: Novices versus Experts. Italian journal of aerospace medicine, 5: 34, pp. 34 – 47. (Prize for the best work in the Aerospace Medicine during the 2nd scientific prize “I Guidoniani”).
• F. De Vico Fallani, J. Toppi, C. Di Lanzo, G. Vecchiato, L. Astolfi, G. Borghini, D. Mattia, F. Cincotti and F. Babiloni, 2011. Redundancy in functional brain connectivity from EEG recordings . International Journal of Bifurcation and Chaos. 2012; 22, 1250158 (2012) [8 pages]. DOI: 10.1142/S0218127412501581.
• G. Borghini, 2012. Integrating cognitive and psychological methods in pilots training. Sicurezza del Volo, Vol. 293, pp. 2- 9.
• G. Borghini, 2011. Brainshield: HREEG study of perceived pilot mental workload. Italian journal of aerospace medicine. July 2011; 5.
• F. De Vico Fallani, L. da Fontoura Costa, F. Aparecido Rodriguez, L. Astolfi, G. vecchiato, J. Toppi, G. Borghini, F. Cincotti, D. Mattia, S. Salinari, R. Isabella and F. Babiloni, 2010. A graph‐theoretical approach in brain functional networks. Possible implications in EEG studies. Nonlinear Biomed Phys. Vol. 4 (Suppl 1); S8. Published online 2010 June 3. DOI: 10.1186/1753-4631-4-S1-S8.