Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Jaberi, M.; Falk, T. H.
A Literature Survey on Potential Private User Information Leakage in Metaverse Applications Journal Article
In: Advanced Intelligent Systems, vol. 8, no. 1, 2026, ISSN: 26404567 (ISSN).
Abstract | Links | BibTeX | Tags: age, augmented reality, Brain, brain computer interface, Computer privacy, Data privacy, Electroencephalography, eye tracking, Gender, Haptic interfaces, Information leakage, Intelligent systems, Literature survey, metaverse, Metaverses, Neurophysiological signal, neurophysiological signals, Neurophysiology, Privacy, Private user information, Race, Signal analysis, User information, Virtual and augmented reality
@article{jaberiLiteratureSurveyPotential2026,
title = {A Literature Survey on Potential Private User Information Leakage in Metaverse Applications},
author = {M. Jaberi and T. H. Falk},
url = {https://www.scopus.com/pages/publications/105012929167?origin=resultslist},
doi = {10.1002/aisy.202500263},
issn = {26404567 (ISSN)},
year = {2026},
date = {2026-01-01},
journal = {Advanced Intelligent Systems},
volume = {8},
number = {1},
publisher = {John Wiley and Sons Inc},
abstract = {The Metaverse is revolutionizing various fields, including healthcare, education, social interaction, and the workplace. Commercial multisensory devices (e.g., smell diffusion and haptic technologies) are available, and virtual and augmented reality (VR/AR) headsets are increasingly integrated with brain–computer interfaces (BCI). These integrations enable adaptive, personalized virtual immersive experiences that are more engaging, interactive, and effective. As these applications become mainstream, concerns arise regarding the security and privacy of personal information. Recent studies demonstrate that users can be identified with high accuracy using the data monitored from sensors available in VR/AR headsets. This literature survey investigates the types of personal user information that can be inferred from BCI-instrumented headsets. In particular, it focuses on predicting age, gender, and ethnic/racial background from neurophysiological signals currently monitored by commercial devices. The survey highlights the predictive strength of electroencephalogram and electrocardiogram signal modalities, followed by eye tracking and iris scanning. It also considers future privacy risks posed by biometric and gesture-based monitoring using non-contact technologies such as computer vision and WiFi signal analysis. The survey concludes with recommendations for future research aimed at contributing to the development of robust frameworks that safeguard user privacy in the evolving Metaverse landscape. © 2025 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH.},
keywords = {age, augmented reality, Brain, brain computer interface, Computer privacy, Data privacy, Electroencephalography, eye tracking, Gender, Haptic interfaces, Information leakage, Intelligent systems, Literature survey, metaverse, Metaverses, Neurophysiological signal, neurophysiological signals, Neurophysiology, Privacy, Private user information, Race, Signal analysis, User information, Virtual and augmented reality},
pubstate = {published},
tppubtype = {article}
}
The Metaverse is revolutionizing various fields, including healthcare, education, social interaction, and the workplace. Commercial multisensory devices (e.g., smell diffusion and haptic technologies) are available, and virtual and augmented reality (VR/AR) headsets are increasingly integrated with brain–computer interfaces (BCI). These integrations enable adaptive, personalized virtual immersive experiences that are more engaging, interactive, and effective. As these applications become mainstream, concerns arise regarding the security and privacy of personal information. Recent studies demonstrate that users can be identified with high accuracy using the data monitored from sensors available in VR/AR headsets. This literature survey investigates the types of personal user information that can be inferred from BCI-instrumented headsets. In particular, it focuses on predicting age, gender, and ethnic/racial background from neurophysiological signals currently monitored by commercial devices. The survey highlights the predictive strength of electroencephalogram and electrocardiogram signal modalities, followed by eye tracking and iris scanning. It also considers future privacy risks posed by biometric and gesture-based monitoring using non-contact technologies such as computer vision and WiFi signal analysis. The survey concludes with recommendations for future research aimed at contributing to the development of robust frameworks that safeguard user privacy in the evolving Metaverse landscape. © 2025 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH.
2.
Binet, É.; Ouellet, M. -C.; Lebel, J.; Békés, V.; Morin, C. M.; Bergeron, N.; Campbell, T.; Ghosh, S.; Bouchard, S.; Guay, S.; MacMaster, F. P.; Belleville, G.
In: Administration and Policy in Mental Health and Mental Health Services Research, vol. 48, no. 6, pp. 1006–1018, 2021, ISSN: 0894587X (ISSN), (Publisher: Springer).
Abstract | Links | BibTeX | Tags: Depression, female, Gender, health care delivery, Health Services Accessibility, human, Humans, insomnia, male, mental health service, Mental Health Services, Mental health services utilization, natural disaster, Patient Acceptance of Health Care, patient attitude, Post-Traumatic, posttraumatic stress disorder, Stress Disorders, wildfire, Wildfires
@article{binet_portrait_2021,
title = {A Portrait of Mental Health Services Utilization and Perceived Barriers to Care in Men and Women Evacuated During the 2016 Fort McMurray Wildfires},
author = {É. Binet and M. -C. Ouellet and J. Lebel and V. Békés and C. M. Morin and N. Bergeron and T. Campbell and S. Ghosh and S. Bouchard and S. Guay and F. P. MacMaster and G. Belleville},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101819468&doi=10.1007%2fs10488-021-01114-w&partnerID=40&md5=4130f3aeaaf2d3894820e7fce46e67f0},
doi = {10.1007/s10488-021-01114-w},
issn = {0894587X (ISSN)},
year = {2021},
date = {2021-01-01},
journal = {Administration and Policy in Mental Health and Mental Health Services Research},
volume = {48},
number = {6},
pages = {1006–1018},
publisher = {Springer},
abstract = {This study examines the influence of gender on mental health services utilization and on perceived barriers to treatment one year after the 2016 Fort McMurray wildfires. Data was collected through a phone survey from May to July 2017 (N = 1510). Participants were English-speaking evacuees aged 18 and older. Mental health services utilization and barriers to mental health care were assessed with the Perceived Need for Care questionnaire. Probable diagnoses of posttraumatic stress disorder, depression and insomnia were assessed with validated self-report questionnaires. Multiple logistic regressions confirmed that gender was a significant predictor of services utilization, after controlling for associated sociodemographic variables and presence of probable diagnoses. Women were respectively 1.50, 1.55 and 1.86 times more likely than men to receive information, medication and psychological help. Self-reliance was the most frequently reported reason for not receiving help, and motivational barriers, such as pessimism and stigma, were reported in a higher proportion than structural barriers, including nonresponse and finance. No significant gender differences were found in the types of perceived barriers to services. Among the Fort McMurray fire evacuees, mental health services utilization was similar to other studies on natural disaster victims, and higher in women than in men. Efforts to increase services utilization in natural disaster victims should focus on motivational barriers and offering treatments fostering people’s autonomy, such as online treatments. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.},
note = {Publisher: Springer},
keywords = {Depression, female, Gender, health care delivery, Health Services Accessibility, human, Humans, insomnia, male, mental health service, Mental Health Services, Mental health services utilization, natural disaster, Patient Acceptance of Health Care, patient attitude, Post-Traumatic, posttraumatic stress disorder, Stress Disorders, wildfire, Wildfires},
pubstate = {published},
tppubtype = {article}
}
This study examines the influence of gender on mental health services utilization and on perceived barriers to treatment one year after the 2016 Fort McMurray wildfires. Data was collected through a phone survey from May to July 2017 (N = 1510). Participants were English-speaking evacuees aged 18 and older. Mental health services utilization and barriers to mental health care were assessed with the Perceived Need for Care questionnaire. Probable diagnoses of posttraumatic stress disorder, depression and insomnia were assessed with validated self-report questionnaires. Multiple logistic regressions confirmed that gender was a significant predictor of services utilization, after controlling for associated sociodemographic variables and presence of probable diagnoses. Women were respectively 1.50, 1.55 and 1.86 times more likely than men to receive information, medication and psychological help. Self-reliance was the most frequently reported reason for not receiving help, and motivational barriers, such as pessimism and stigma, were reported in a higher proportion than structural barriers, including nonresponse and finance. No significant gender differences were found in the types of perceived barriers to services. Among the Fort McMurray fire evacuees, mental health services utilization was similar to other studies on natural disaster victims, and higher in women than in men. Efforts to increase services utilization in natural disaster victims should focus on motivational barriers and offering treatments fostering people’s autonomy, such as online treatments. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
3.
Binet, É.; Ouellet, M. -C.; Lebel, J.; Békés, V.; Morin, C. M.; Bergeron, N.; Campbell, T.; Ghosh, S.; Bouchard, S.; Guay, S.; MacMaster, F. P.; Belleville, G.
In: Administration and Policy in Mental Health and Mental Health Services Research, vol. 48, no. 6, pp. 1006–1018, 2021, ISSN: 0894587X (ISSN).
Abstract | Links | BibTeX | Tags: Depression, female, Gender, health care delivery, Health Services Accessibility, human, Humans, insomnia, male, mental health service, Mental Health Services, Mental health services utilization, natural disaster, Patient Acceptance of Health Care, patient attitude, Post-Traumatic, posttraumatic stress disorder, Stress Disorders, wildfire, Wildfires
@article{binetPortraitMentalHealth2021,
title = {A Portrait of Mental Health Services Utilization and Perceived Barriers to Care in Men and Women Evacuated During the 2016 Fort McMurray Wildfires},
author = {É. Binet and M. -C. Ouellet and J. Lebel and V. Békés and C. M. Morin and N. Bergeron and T. Campbell and S. Ghosh and S. Bouchard and S. Guay and F. P. MacMaster and G. Belleville},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101819468&doi=10.1007%2fs10488-021-01114-w&partnerID=40&md5=4130f3aeaaf2d3894820e7fce46e67f0},
doi = {10.1007/s10488-021-01114-w},
issn = {0894587X (ISSN)},
year = {2021},
date = {2021-01-01},
journal = {Administration and Policy in Mental Health and Mental Health Services Research},
volume = {48},
number = {6},
pages = {1006–1018},
publisher = {Springer},
abstract = {This study examines the influence of gender on mental health services utilization and on perceived barriers to treatment one year after the 2016 Fort McMurray wildfires. Data was collected through a phone survey from May to July 2017 (N = 1510). Participants were English-speaking evacuees aged 18 and older. Mental health services utilization and barriers to mental health care were assessed with the Perceived Need for Care questionnaire. Probable diagnoses of posttraumatic stress disorder, depression and insomnia were assessed with validated self-report questionnaires. Multiple logistic regressions confirmed that gender was a significant predictor of services utilization, after controlling for associated sociodemographic variables and presence of probable diagnoses. Women were respectively 1.50, 1.55 and 1.86 times more likely than men to receive information, medication and psychological help. Self-reliance was the most frequently reported reason for not receiving help, and motivational barriers, such as pessimism and stigma, were reported in a higher proportion than structural barriers, including nonresponse and finance. No significant gender differences were found in the types of perceived barriers to services. Among the Fort McMurray fire evacuees, mental health services utilization was similar to other studies on natural disaster victims, and higher in women than in men. Efforts to increase services utilization in natural disaster victims should focus on motivational barriers and offering treatments fostering people’s autonomy, such as online treatments. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.},
keywords = {Depression, female, Gender, health care delivery, Health Services Accessibility, human, Humans, insomnia, male, mental health service, Mental Health Services, Mental health services utilization, natural disaster, Patient Acceptance of Health Care, patient attitude, Post-Traumatic, posttraumatic stress disorder, Stress Disorders, wildfire, Wildfires},
pubstate = {published},
tppubtype = {article}
}
This study examines the influence of gender on mental health services utilization and on perceived barriers to treatment one year after the 2016 Fort McMurray wildfires. Data was collected through a phone survey from May to July 2017 (N = 1510). Participants were English-speaking evacuees aged 18 and older. Mental health services utilization and barriers to mental health care were assessed with the Perceived Need for Care questionnaire. Probable diagnoses of posttraumatic stress disorder, depression and insomnia were assessed with validated self-report questionnaires. Multiple logistic regressions confirmed that gender was a significant predictor of services utilization, after controlling for associated sociodemographic variables and presence of probable diagnoses. Women were respectively 1.50, 1.55 and 1.86 times more likely than men to receive information, medication and psychological help. Self-reliance was the most frequently reported reason for not receiving help, and motivational barriers, such as pessimism and stigma, were reported in a higher proportion than structural barriers, including nonresponse and finance. No significant gender differences were found in the types of perceived barriers to services. Among the Fort McMurray fire evacuees, mental health services utilization was similar to other studies on natural disaster victims, and higher in women than in men. Efforts to increase services utilization in natural disaster victims should focus on motivational barriers and offering treatments fostering people’s autonomy, such as online treatments. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.