Evaluating User Feedback on the Integration of Brain-Computer Interface and Sensory Stimulation in a Standalone VR Headset

This study investigates user perceptions surrounding Xenodiver, a standalone virtual reality (VR) headset integrating Brain–Computer Interface (BCI) technology and vestibular stimulation to enhance immersive interaction and neurorehabilitation potential. Using a cross-sectional survey design, 400 respondents—including clinicians, biomedical engineers, VR developers, and individuals with disabilities—provided feedback on key factors such as usability, therapeutic relevance, familiarity with BCI, and ethical concerns. Statistical analyses (chi-square, Pearson correlation, regression models, ANOVA, and non-parametric tests) revealed that gender, profession, and education level significantly influenced attitudes toward BCI-VR systems. Clinicians and male participants showed greater interest in therapeutic applications and a higher willingness to consent to brain data usage. Although prior exposure to BCI was not linked to increased enthusiasm, it correlated with reduced concerns over signal accuracy—suggesting that education may alleviate skepticism. These findings highlight the importance of user-informed interface design, comprehensive onboarding, and ethical transparency for successful implementation of neuroadaptive technologies like Xenodiver. The system represents a promising advancement in accessible, user-centered neurotechnology for rehabilitation and beyond.

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Publication Details

Journal
European Journal of Medical and Health Research
Published
2025-08-30
DOI
https://doi.org/10.59324/ejmhr.2025.3(5).09
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Evaluating User Feedback on the Integration of Brain-Computer Interface and Sensory Stimulation in a Standalone VR Headset

Zain Hossain, Araf Nishan
1 links
European Journal of Medical and Health Research
EEG and Brain-Computer Interfaces
article

Evaluating User Feedback on the Integration of Brain-Computer Interface and Sensory Stimulation in a Standalone VR Headset

Zain Hossain, Araf Nishan
article en

Abstract

This study investigates user perceptions surrounding Xenodiver, a standalone virtual reality (VR) headset integrating Brain–Computer Interface (BCI) technology and vestibular stimulation to enhance immersive interaction and neurorehabilitation potential. Using a cross-sectional survey design, 400 respondents—including clinicians, biomedical engineers, VR developers, and individuals with disabilities—provided feedback on key factors such as usability, therapeutic relevance, familiarity with BCI, and ethical concerns. Statistical analyses (chi-square, Pearson correlation, regression models, ANOVA, and non-parametric tests) revealed that gender, profession, and education level significantly influenced attitudes toward BCI-VR systems. Clinicians and male participants showed greater interest in therapeutic applications and a higher willingness to consent to brain data usage. Although prior exposure to BCI was not linked to increased enthusiasm, it correlated with reduced concerns over signal accuracy—suggesting that education may alleviate skepticism. These findings highlight the importance of user-informed interface design, comprehensive onboarding, and ethical transparency for successful implementation of neuroadaptive technologies like Xenodiver. The system represents a promising advancement in accessible, user-centered neurotechnology for rehabilitation and beyond.

European Journal of Medical and Health ResearchVol. 3(5)
American Jewish University (US), Austin Travis County Integral Care (US)
Openalex Percentile: Top 77%
EEG and Brain-Computer Interfaces
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