The Potential of the Brain-Computer Interface for Learning: A Technology Review

Leo Galway, Paul McCullagh, Gaye Lightbody, Chris Brennan, David Trainor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This paper provides a review of technology that has emerged to facilitate pervasive brain-computer interface applications. Such technology is beginning to be applied to the human-computer interface, as part of multimodal interaction. As the technology taps into brain state and provides an associated quantitative assessment, it has potential for the real-time assessment of a person’s cognitive state. As such, many emerging applications could be addressed such as the assessment of learning. In the future, it may even be possible to tune learning materials in a manner appropriate to the state of a user using a feedback loop. In particular, the interaction of brain-computer interface technology with technologies such as augmented reality holds some promise, however, the technology is as yet unverified beyond lifestyle and gaming interaction. Consequently, this paper aims to review low-cost, commercial brain-computer interface technologies and posits their use as an interaction modality within future learning environments.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages6
Publication statusPublished - 2015
Event14th International Conference on Computer and Information Technology; Ubiquitous Computing and Communications - Liverpool, United Kingdom
Duration: 1 Jan 2015 → …

Workshop

Workshop14th International Conference on Computer and Information Technology; Ubiquitous Computing and Communications
Period1/01/15 → …

Fingerprint

Brain computer interface
Augmented reality
Interfaces (computer)
Brain
Feedback
Costs

Keywords

  • Multimodal
  • Brain-Computer Interface
  • Learning Potential
  • Interaction Modalities.

Cite this

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title = "The Potential of the Brain-Computer Interface for Learning: A Technology Review",
abstract = "This paper provides a review of technology that has emerged to facilitate pervasive brain-computer interface applications. Such technology is beginning to be applied to the human-computer interface, as part of multimodal interaction. As the technology taps into brain state and provides an associated quantitative assessment, it has potential for the real-time assessment of a person’s cognitive state. As such, many emerging applications could be addressed such as the assessment of learning. In the future, it may even be possible to tune learning materials in a manner appropriate to the state of a user using a feedback loop. In particular, the interaction of brain-computer interface technology with technologies such as augmented reality holds some promise, however, the technology is as yet unverified beyond lifestyle and gaming interaction. Consequently, this paper aims to review low-cost, commercial brain-computer interface technologies and posits their use as an interaction modality within future learning environments.",
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author = "Leo Galway and Paul McCullagh and Gaye Lightbody and Chris Brennan and David Trainor",
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Galway, L, McCullagh, P, Lightbody, G, Brennan, C & Trainor, D 2015, The Potential of the Brain-Computer Interface for Learning: A Technology Review. in Unknown Host Publication. 14th International Conference on Computer and Information Technology; Ubiquitous Computing and Communications, 1/01/15.

The Potential of the Brain-Computer Interface for Learning: A Technology Review. / Galway, Leo; McCullagh, Paul; Lightbody, Gaye; Brennan, Chris; Trainor, David.

Unknown Host Publication. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Brennan, Chris

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N2 - This paper provides a review of technology that has emerged to facilitate pervasive brain-computer interface applications. Such technology is beginning to be applied to the human-computer interface, as part of multimodal interaction. As the technology taps into brain state and provides an associated quantitative assessment, it has potential for the real-time assessment of a person’s cognitive state. As such, many emerging applications could be addressed such as the assessment of learning. In the future, it may even be possible to tune learning materials in a manner appropriate to the state of a user using a feedback loop. In particular, the interaction of brain-computer interface technology with technologies such as augmented reality holds some promise, however, the technology is as yet unverified beyond lifestyle and gaming interaction. Consequently, this paper aims to review low-cost, commercial brain-computer interface technologies and posits their use as an interaction modality within future learning environments.

AB - This paper provides a review of technology that has emerged to facilitate pervasive brain-computer interface applications. Such technology is beginning to be applied to the human-computer interface, as part of multimodal interaction. As the technology taps into brain state and provides an associated quantitative assessment, it has potential for the real-time assessment of a person’s cognitive state. As such, many emerging applications could be addressed such as the assessment of learning. In the future, it may even be possible to tune learning materials in a manner appropriate to the state of a user using a feedback loop. In particular, the interaction of brain-computer interface technology with technologies such as augmented reality holds some promise, however, the technology is as yet unverified beyond lifestyle and gaming interaction. Consequently, this paper aims to review low-cost, commercial brain-computer interface technologies and posits their use as an interaction modality within future learning environments.

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