Simulating the feel of brain-computer interfaces for design, development and social interaction

  • Authors:
  • Melissa Quek;Daniel Boland;John Williamson;Roderick Murray-Smith;Michele Tavella;Serafeim Perdikis;Martijn Schreuder;Michael Tangermann

  • Affiliations:
  • University of Glasgow, Glasgow, United Kingdom;University of Glasgow, Glasgow, United Kingdom;University of Glasgow, Glasgow, United Kingdom;University of Glasgow, Glasgow, United Kingdom;École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland;École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland;Technische Universität Berlin, Berlin, Germany;Technische Universität Berlin, Berlin, Germany

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2011

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Abstract

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.