Assessment of Task Engagement using Brain Computer Interface Technology

Authors

  • Paul McCULLAGH School of Computing and Mathematics, Ulster University, UK
  • Gaye LIGHTBODY School of Computing and Mathematics, Ulster University, UK
  • Leo GALWAY School of Computing and Mathematics, Ulster University, UK
  • Chris BRENNAN School of Computing and Mathematics, Ulster University, UK
  • David TRAINOR Sentireal Ltd, UK

DOI:

https://doi.org/10.56198/1wev5g13

Keywords:

Immersion, Task, Engagement, Brain Computer Interface, Eye gaze

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.

Published

13-09-2025

Conference Proceedings Volume

Section

Conference Proceeedings

How to Cite

Assessment of Task Engagement using Brain Computer Interface Technology. (2025). Immersive Learning Research - Academic, 1(1), 244-251. https://doi.org/10.56198/1wev5g13

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