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.
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References
Baddeley AD (1986) Working Memory. Oxford University Press, New York
Carey J (ed) (2002) Brain Facts: A Primer on the Brain and Nervous System, 4th edn. Society for Neuroscience, Washington DC, USA
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
Coyle S, Ward T, Markham C (2003) Brain-computer interfaces: A review. Interdiscip Sci Rev 28(2):112–118
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
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
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
Hjelm SI, Browall C (2000) Brainball—Using brain activity for cool competition. In: Proceedings of NordiCHI 2000
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
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
Picard RW, Klein J (2002) Computers that recognize and respond to user emotion: Theoretical and practical implications. Interact Comput 14(2):141–169
Smith RC (2004) Electroencephalograph based brain computer interfaces. Thesis for Master of Engineering Science, University College Dublin
Sutter EE (1992) The brain response interface: Communication through visually induced electrical brain responses. J Microcomput Appl 15(1):31–45
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
Wolpaw JR, Birbaumer N, Mcfarland DJ, Pfurtscheller G, Vaughan TM (2002) Brain-computer interfaces for communication and control. Clin Neurophysiol 113:767–791
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Tan, D., Nijholt, A. (2010). Brain-Computer Interfaces and Human-Computer Interaction. In: Tan, D., Nijholt, A. (eds) Brain-Computer Interfaces. Human-Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-84996-272-8_1
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DOI: https://doi.org/10.1007/978-1-84996-272-8_1
Publisher Name: Springer, London
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