Technology transfer of brain-computer interfaces as assistive technology: barriers and opportunities.

This paper provides an analysis of perspectives from different stakeholders on the state-of-the-art of BCI. Three barriers for technology transfer of BCIs as access technologies are identified. First, BCIs are developed with a narrow focus on creating a reliable technology, while a broader focus on creating a usable technology is needed. Second, the potential target group, which could benefit from BCIs as access technologies is expected to be very small. Development costs are therefore high, while reimbursements are expected to be low, which challenges the commercial viability. Third, potential target users should be much more included in the design process of BCIs to ensure that the end-products meet technical, ethical, legal and social requirements. These three issues need to be urgently addressed so that target users may benefit from this promising technology.

[1]  P. Tonin,et al.  P300-Based Brain–Computer Interface Communication: Evaluation and Follow-up in Amyotrophic Lateral Sclerosis , 2009, Front. Neuropro..

[2]  Jonathan R Wolpaw,et al.  A brain-computer interface for long-term independent home use , 2010, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.

[3]  Donatella Mattia,et al.  A Brain-Computer Interface as Input Channel for a Standard Assistive Technology Software , 2011, Clinical EEG and neuroscience.

[4]  A. Kübler,et al.  A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients , 2009, Annals of the New York Academy of Sciences.

[5]  Marilyn J. Field,et al.  Assistive and Mainstream Technologies for People with Disabilities , 2007 .

[6]  Stefano Federici,et al.  Toward functioning and usable brain–computer interfaces (BCIs): A literature review , 2012, Disability and rehabilitation. Assistive technology.

[7]  Se-Jun Park Understanding Technology Transfer , 1999 .

[8]  Michael Bensch,et al.  Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[9]  H. Flor,et al.  A spelling device for the paralysed , 1999, Nature.

[10]  M. T. J. Buñuales,et al.  La clasificación internacional del funcionamiento de la discapacidad y de la salud (CIF) 2001 , 2002 .

[11]  B Phillips,et al.  Predictors of assistive technology abandonment. , 1993, Assistive technology : the official journal of RESNA.

[12]  F. Gerstenbrand,et al.  Varieties of the locked-in syndrome , 1979, Journal of Neurology.

[13]  Dirk Heylen,et al.  Human-Computer Interaction for BCI Games: Usability and User Experience , 2010, 2010 International Conference on Cyberworlds.

[14]  N. Birbaumer,et al.  The Influence of Psychological State and Motivation on Brain–Computer Interface Performance in Patients with Amyotrophic Lateral Sclerosis – a Longitudinal Study , 2010, Front. Neuropharma..

[15]  N. Birbaumer,et al.  Brain–computer interfaces and communication in paralysis: Extinction of goal directed thinking in completely paralysed patients? , 2008, Clinical Neurophysiology.

[16]  J. Wolpaw,et al.  A P300-based brain–computer interface for people with amyotrophic lateral sclerosis , 2008, Clinical Neurophysiology.

[17]  Touradj Ebrahimi,et al.  An efficient P300-based brain–computer interface for disabled subjects , 2008, Journal of Neuroscience Methods.

[18]  Batya Friedman,et al.  Value-sensitive design , 1996, INTR.

[19]  B. Allison,et al.  The Asilomar Survey: Stakeholders’ Opinions on Ethical Issues Related to Brain-Computer Interfacing , 2011, Neuroethics.

[20]  T. Chau,et al.  A Review of EEG-Based Brain-Computer Interfaces as Access Pathways for Individuals with Severe Disabilities , 2013, Assistive technology : the official journal of RESNA.

[21]  Jason Farquhar,et al.  Design requirements and potential target users for brain-computer interfaces – recommendations from rehabilitation professionals , 2014 .

[22]  Marcia J. Scherer,et al.  Living in the state of stuck : how assistive technology impacts the lives of people with disabilities , 2005 .

[23]  Jane E Huggins,et al.  Barriers to and mediators of brain–computer interface user acceptance: focus group findings , 2012, Ergonomics.