Towards designing Brain-Computer Interfaces in terms of User-Profiles, Neurophysiological Factors and User Experience

Abstract

 

Brain-computer interfaces (BCIs) are technology in development that attempt to establish interaction between individuals and their surroundings by modulating their neural activity. One of the most common strategies to modulate neural activity is motor imagery (MI). However, research on MI-based BCIs has been mostly carried out on the system-related part, whereas the user-related part has been relatively ignored. Thus far, up to 30% of users cannot gain control of BCI, while the remaining ones reach modest performance. The exclusion of users in the system design has possibly led to this outcome. Therefore, the aim of this paper is to establish a mixed method based on interactive design principles and in line with (1) user-profile, (2) psychological and (3) neurophysiological factors, (4) BCI technical issues and (5) user-experience. Although some of these elements have been previously discussed, their integration and application are seldom considered during investigation.

Published
2019-03-11
How to Cite
Alonso-Valerdi, L. M., & Mercado-García, V. R. (2019). Towards designing Brain-Computer Interfaces in terms of User-Profiles, Neurophysiological Factors and User Experience. Mexican Journal of Biomedical Engineering, 40(2), 1-12. https://doi.org/10.17488/RMIB.40.2.3
Section
Research Articles