This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3384) Brain-Machine Interfaces (23) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1951) Infodemiology and Infoveillance (1587) Natural Language Processing (940)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60859, first published .
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

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

Authors of this article:

Mohammed A Almanna1, 2 Author Orcid Image ;   Lior M Elkaim3 Author Orcid Image ;   Mohammed A Alvi4, 5, 6 Author Orcid Image ;   Jordan J Levett7 Author Orcid Image ;   Ben Li8, 9, 10, 11 Author Orcid Image ;   Muhammad Mamdani10, 11, 12, 13, 14, 15, 16 Author Orcid Image ;   Mohammed Al‑Omran8, 9, 10, 11, 15, 17, 18 Author Orcid Image ;   Naif M Alotaibi17, 19 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

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