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Investigating User Perceptions, Ethical Challenges, and Expectations Regarding Brain-Computer Interfaces (BCIs) for Imagined Speech: A Mixed-Methods Protocol

ANGELIKI SPYROPOULOU · Aug 20, 2026

Brain-computer interfaces that translate internal thoughts into spoken words offer life-changing potential for people with severe speech impairments. However, while algorithm accuracy continues to improve, critical questions remain about how real people feel about using this technology every day. This 12-month study combines a quantitative survey with in-depth interviews involving patients, caregivers, neuroscientists, and ethics experts. The project explores practical user needs—such as acceptable accuracy levels and training time—while addressing deep worries about accidental thought leakage and brain data privacy. Ultimately, the goal is to provide engineers with clear, human-first guidelines to build BCIs that feel natural, safe, and truly respectful of user control.

NeurolinguisticsBrain-Computer InterfacesNeural SignalsImagined SpeechEEG Decoding