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Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60859, first published .
Young Black woman on phone with social media emojis floating around her.

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

Journals

  1. Frascaria G, Jaramillo-Dent D, Latzer M. Adoption of Human Augmentation Technologies for Non-Medical Applications: A Systematic Review of Empirical Literature. International Journal of Human–Computer Interaction 2026:1 View
  2. Jha N, Liu C, Rogers A, Lozano A. Payers, Proof, and Public Trust: Lessons From Deep Brain Stimulation for Scaling Brain–Computer Interfaces. Mayo Clinic Proceedings: Digital Health 2026;4(2):100366 View
  3. Jumhur , Dadang . Spiritual Neuroscience in the Digital Age: Revitalizing Ethics and Sufism as a Solution for Adolescent Character Development. Jurnal Penelitian Pendidikan IPA 2026;12(5):721 View
  4. Xie X, Luo H. Public sentiment and explicit ethical expression in social media discourse on brain–computer interfaces: an observational analysis. Humanities and Social Sciences Communications 2026;13(1) View

Conference Proceedings

  1. Frascaria G, Festic N, Latzer M. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. Evolving User Profiles and Adoption of Cyborg Technologies: Evidence from a Repeated Cross-Sectional Study in Switzerland View