User-centered design in brain–computer interfaces — a case study

Schreuder, M., Riccio, A., Risetti, M., Dähne, S., Ramsay, A. , Williamson, J. , Mattia, D. and Tangermann, M. (2013) User-centered design in brain–computer interfaces — a case study. Artificial Intelligence in Medicine, 59(2), pp. 71-80. (doi: 10.1016/j.artmed.2013.07.005)

Abstract

The array of available brain–computer interface (BCI) paradigms has continued to grow, and so has the corresponding set of machine learning methods which are at the core of BCI systems. The latter have evolved to provide more robust data analysis solutions, and as a consequence the proportion of healthy BCI users who can use a BCI successfully is growing. With this development the chances have increased that the needs and abilities of specific patients, the end-users, can be covered by an existing BCI approach. However, most end-users who have experienced the use of a BCI system at all have encountered a single paradigm only. This paradigm is typically the one that is being tested in the study that the end-user happens to be enrolled in, along with other end-users. Though this corresponds to the preferred study arrangement for basic research, it does not ensure that the end-user experiences a working BCI. In this study, a different approach was taken; that of a user-centered design. It is the prevailing process in traditional assistive technology. Given an individual user with a particular clinical profile, several available BCI approaches are tested and – if necessary – adapted to him/her until a suitable BCI system is found.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Williamson, Dr John and Ramsay, Mr Andrew
• Authors: Schreuder, M., Riccio, A., Risetti, M., Dähne, S., Ramsay, A., Williamson, J., Mattia, D., and Tangermann, M.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; Q Science > QA Mathematics > QA76 Computer software
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Artificial Intelligence in Medicine
• Publisher: Elsevier B.V.
• ISSN: 0933-3657
• ISSN (Online): 1873-2860
• Copyright Holders: Copyright © 2013 The Authors
• First Published: First published in Artificial Intelligence in Medicine 59(2):71-80
• Publisher Policy: Reproduced under a Creative Commons License