Evaluating User Feedback on the Integration of Brain-Computer Interface and Sensory Stimulation in a Standalone VR Headset
Year: 2025
Type: article
Study design: Observational Study
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.
Authors: Zain Hossain, Araf Nishan
Institution: International American University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4413858437