Third age usability and safety—an ergonomics contribution to design
International Journal of Human-Computer Studies
Artificial Intelligence
Nessi: an EEG-controlled web browser for severely paralyzed patients
Computational Intelligence and Neuroscience - Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications
Automatic evaluation of assistive interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces
International Journal of Human-Computer Studies
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We describe an approach to improving the design and development of Brain-Computer Interface (BCI) applications by simulating the error-prone characteristics and subjective feel of electroencephalogram (EEG), motor-imagery based BCIs. BCIs have the potential to enhance the quality of life of people who are severely disabled, but it is often time-consuming to test and develop the systems. Simulation of BCI characteristics allows developers to rapidly test design options, and gain both subjective and quantitative insight into expected behaviour without using an EEG cap. A further motivation for the use of simulation is that 'impairing' a person without motor disabilities in a game with a disabled BCI user can create a level playing field and help carers empathise with BCI users. We demonstrate a use of the simulator in controlling a game of Brain Pong.