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Brain-Computer Interfaces and Human-Computer Interaction

  • Desney Tan
  • Anton Nijholt
Part of the Human-Computer Interaction Series book series (HCIS)

Abstract

Advances in cognitive neuroscience and brain imaging technologies have started to provide us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that can monitor some of the physical processes that occur within the brain that correspond with certain forms of thought. Researchers have used these technologies to build brain-computer interfaces (BCIs), communication systems that do not depend on the brain’s normal output pathways of peripheral nerves and muscles. In these systems, users explicitly manipulate their brain activity instead of using motor movements to produce signals that can be used to control computers or communication devices.

Human-Computer Interaction (HCI) researchers explore possibilities that allow computers to use as many sensory channels as possible. Additionally, researchers have started to consider implicit forms of input, that is, input that is not explicitly performed to direct a computer to do something. Researchers attempt to infer information about user state and intent by observing their physiology, behavior, or the environment in which they operate. Using this information, systems can dynamically adapt themselves in order to support the user in the task at hand.

BCIs are now mature enough that HCI researchers must add them to their tool belt when designing novel input techniques. In this introductory chapter to the book we present the novice reader with an overview of relevant aspects of BCI and HCI, so that hopefully they are inspired by the opportunities that remain.

Keywords

Brain Imaging Near Infrared Spectroscopy Brain Signal Motor Movement Novice Reader 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Baddeley AD (1986) Working Memory. Oxford University Press, New York Google Scholar
  2. Carey J (ed) (2002) Brain Facts: A Primer on the Brain and Nervous System, 4th edn. Society for Neuroscience, Washington DC, USA Google Scholar
  3. Chance B, Anday E, Nioka S, Zhou S, Hong L, Worden K, Li C, Murray T, Overtsky Y, Pidikiti D, Thomas R (1998) A novel method for fast imaging of brain function, non-invasively, with light. Opt Express 2(10):411–423 CrossRefGoogle Scholar
  4. Coyle S, Ward T, Markham C (2003) Brain-computer interfaces: A review. Interdiscip Sci Rev 28(2):112–118 CrossRefGoogle Scholar
  5. Coyle S, Ward T, Markham C, McDarby G (2004) On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces. Physiol Meas 25:815–822 CrossRefGoogle Scholar
  6. Curran E, Stokes MJ (2003) Learning to control brain activity: A review of the production and control of EEG components for driving brain-computer interface (BCI) systems. Brain Cogn 51:326–336 CrossRefGoogle Scholar
  7. Cutrell E, Czerwinski M, Horvitz E (2001) Notification, disruption and memory: Effects of messaging interruptions on memory and performance. In: Hi-rose M (ed) Human-Computer Interaction–Interact ’01. IOS Press, Amsterdam, pp 263–269 Google Scholar
  8. Hjelm SI, Browall C (2000) Brainball—Using brain activity for cool competition. In: Proceedings of NordiCHI 2000 Google Scholar
  9. Horvitz E, Breese J, Heckerman D, Hovel D, Rommelse K (1998) The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence Google Scholar
  10. Lal TN, Hinterberger T, Widman G, Schröder M, Hill NJ, Rosenstiel E, Elger CE, Schölkopf B, Birbaumer N (2004) Methods towards invasive human brain computer interfaces. In: Conference on Neural Information Processing Systems Google Scholar
  11. Picard RW, Klein J (2002) Computers that recognize and respond to user emotion: Theoretical and practical implications. Interact Comput 14(2):141–169 CrossRefGoogle Scholar
  12. Smith RC (2004) Electroencephalograph based brain computer interfaces. Thesis for Master of Engineering Science, University College Dublin Google Scholar
  13. Sutter EE (1992) The brain response interface: Communication through visually induced electrical brain responses. J Microcomput Appl 15(1):31–45 CrossRefGoogle Scholar
  14. Vaughan TM (2003) Guest editorial brain-computer interface technology: A review of the second inter-national meeting. IEEE Trans Neural Syst Rehabil Eng 11(2):94–109 CrossRefGoogle Scholar
  15. Wolpaw JR, Birbaumer N, Mcfarland DJ, Pfurtscheller G, Vaughan TM (2002) Brain-computer interfaces for communication and control. Clin Neurophysiol 113:767–791 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2010

Authors and Affiliations

  1. 1.Microsoft ResearchRedmondUSA
  2. 2.University of TwenteEnschedeThe Netherlands

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