Assessment of Task Engagement using Brain Computer Interface Technology

PJ McCullagh; G Lightbody; Leo Galway; CP Brennan; D Trainor

doi:10.3233/978-1-61499-530-2-244

Assessment of Task Engagement using Brain Computer Interface Technology

PJ McCullagh, G Lightbody, Leo Galway, CP Brennan, D Trainor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

The electrical activity of the brain can be quantified by measuring the electroencephalogram (EEG), a technology that underpins emerging commercial Brain Computer Interface (BCI) devices. The EEG can be used to directly assess measures of brain function: sensory, motor and cognitive processes. In this paper we assess the readiness of this technology for application to teaching and learning. We propose a hybrid BCI methodology that can be used to gather EEG metrics during an immersive control task. The changes in EEG provide objective measures regarding user engagement with the task. When used in conjunction with eye tracking technology, a hybrid BCI offers the potential of exploring learning at a more granular level.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IOS Press
Pages	244-251
Number of pages	8
DOIs	https://doi.org/10.3233/978-1-61499-530-2-244
Publication status	Published (in print/issue) - 2015
Event	11th International Conference on Intelligent Environments - Prague, Czech Republic Duration: 1 Jan 2015 → …

Workshop

Workshop	11th International Conference on Intelligent Environments
Period	1/01/15 → …

Keywords

Immersion
Task
Engagement
Brain Computer Interface
Eye gaze

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10.3233/978-1-61499-530-2-244

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title = "Assessment of Task Engagement using Brain Computer Interface Technology",

abstract = "The electrical activity of the brain can be quantified by measuring the electroencephalogram (EEG), a technology that underpins emerging commercial Brain Computer Interface (BCI) devices. The EEG can be used to directly assess measures of brain function: sensory, motor and cognitive processes. In this paper we assess the readiness of this technology for application to teaching and learning. We propose a hybrid BCI methodology that can be used to gather EEG metrics during an immersive control task. The changes in EEG provide objective measures regarding user engagement with the task. When used in conjunction with eye tracking technology, a hybrid BCI offers the potential of exploring learning at a more granular level.",

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AU - McCullagh, PJ

AU - Lightbody, G

AU - Galway, Leo

AU - Brennan, CP

AU - Trainor, D

PY - 2015

Y1 - 2015

N2 - The electrical activity of the brain can be quantified by measuring the electroencephalogram (EEG), a technology that underpins emerging commercial Brain Computer Interface (BCI) devices. The EEG can be used to directly assess measures of brain function: sensory, motor and cognitive processes. In this paper we assess the readiness of this technology for application to teaching and learning. We propose a hybrid BCI methodology that can be used to gather EEG metrics during an immersive control task. The changes in EEG provide objective measures regarding user engagement with the task. When used in conjunction with eye tracking technology, a hybrid BCI offers the potential of exploring learning at a more granular level.

AB - The electrical activity of the brain can be quantified by measuring the electroencephalogram (EEG), a technology that underpins emerging commercial Brain Computer Interface (BCI) devices. The EEG can be used to directly assess measures of brain function: sensory, motor and cognitive processes. In this paper we assess the readiness of this technology for application to teaching and learning. We propose a hybrid BCI methodology that can be used to gather EEG metrics during an immersive control task. The changes in EEG provide objective measures regarding user engagement with the task. When used in conjunction with eye tracking technology, a hybrid BCI offers the potential of exploring learning at a more granular level.

KW - Immersion

KW - Task

KW - Engagement

KW - Brain Computer Interface

KW - Eye gaze

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DO - 10.3233/978-1-61499-530-2-244

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BT - Unknown Host Publication

PB - IOS Press

T2 - 11th International Conference on Intelligent Environments

Y2 - 1 January 2015

ER -

Assessment of Task Engagement using Brain Computer Interface Technology

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Workshop

Keywords

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