Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study
This NLP-assisted study provides a decade-long analysis of public perception of BCI technology based on data from X. Overall, sentiments were neutral yet cautiously apprehensive, with anticipation, trust, and fear as the dominant emotions. The presence of fear underscores the need to address ethical concerns, particularly around data privacy, safety, and transparency. Transparent communication and ethical considerations are essential for building public trust and reducing apprehension. Influential figures and positive clinical outcomes, such as advancements in neuroprosthetics, could enhance favorable perceptions. The gamification of BCI, particularly in gaming and entertainment, also offers potential for wider public engagement and adoption. However, public perceptions on X may differ from other platforms, affecting the broader interpretation of results. Despite these limitations, the findings provide valuable insights for guiding future BCI developments, policy making, and communication strategies.
Authors
- Jordan J. Levett (ORCID: https://orcid.org/0000-0002-1999-2017)
- Lior M. Elkaim (ORCID: https://orcid.org/0000-0001-7500-8398)
- Naif M. Alotaibi (ORCID: https://orcid.org/0000-0002-8227-347X)
- Mohammed Ali Alvi (ORCID: https://orcid.org/0000-0002-7131-079X)
- Muhammad Mamdani (ORCID: https://orcid.org/0000-0001-5199-6344)
- Mohammed A. Almanna (ORCID: https://orcid.org/0009-0007-0371-7620)
- Ben Li (ORCID: https://orcid.org/0000-0002-7191-1034)
- Mohammed Al‐Omran (ORCID: https://orcid.org/0000-0003-3325-0420)
Institutions
- St. Michael's Hospital (CA)
- Mayo Clinic (US)
- Alfaisal University (SA)
- King Saud bin Abdulaziz University for Health Sciences (SA)
- University of Toronto (CA)
- King Faisal Specialist Hospital & Research Centre (SA)
- King Fahd Medical City (SA)
- WinnMed (US)
- Ontario Neurotrauma Foundation (CA)
- St Michael’s Hospital (IE)
- King Abdullah International Medical Research Center (SA)
- Nickel Institute (CA)
- Mayo Clinic in Florida (US)
- Institute for Clinical Evaluative Sciences (CA)
- St Michael's Hospital (GB)
- Institute for Work & Health (CA)
- Artificial Intelligence in Medicine (Canada) (CA)
- Unity Health Toronto
- McGill University (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-03-25
- DOI
- https://doi.org/10.2196/60859
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43