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Assessment of Task Engagement using Brain Computer Interface Technology

McCullagh, PJ, Lightbody, G, Galway, Leo, Brennan, CP and Trainor, D (2015) Assessment of Task Engagement using Brain Computer Interface Technology. In: 11th International Conference on Intelligent Environments, Prague, Czech Republic. IOS Press. 8 pp. [Conference contribution]

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

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.

Item Type:Conference contribution (Paper)
Keywords:Immersion, Task, Engagement, Brain Computer Interface, Eye gaze
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:32988
Deposited By: Dr Paul McCullagh
Deposited On:15 Jan 2016 11:46
Last Modified:15 Jan 2016 11:46

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