Quantifying Brain Activity for Task Engagement

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

Quantifying Brain Activity for Task Engagement

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

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

1 Citation (Scopus)

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Abstract

This paper addresses the potential of the Brain Computer Interface (BCI) for self-quantification through recording and analysis of brain activity. From the electroencephalographic (EEG) signal it is possible to quantify and investigate brain activity, allowing, for example, a measure of engagement with tasks to be derived, states of relaxation or anxiety to be determined, or levels of alertness to be assessed. This can be of particular use in areas such as immersive education, where an objective measure of task engagement would be of value. As such it may be possible to measure engagement but also to identify people who may not be able to engage fully, such as people with dyslexia.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	8-11
Number of pages	4
Publication status	Published - Nov 2014
Event	2014 IEEE International Conference on Bioinformatics and Biomedicine - Belfast Duration: 1 Nov 2014 → …

Conference

Conference	2014 IEEE International Conference on Bioinformatics and Biomedicine
Period	1/11/14 → …

Keywords

BCI
usability
self-quantification
EEG

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Cite this

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title = "Quantifying Brain Activity for Task Engagement",

abstract = "This paper addresses the potential of the Brain Computer Interface (BCI) for self-quantification through recording and analysis of brain activity. From the electroencephalographic (EEG) signal it is possible to quantify and investigate brain activity, allowing, for example, a measure of engagement with tasks to be derived, states of relaxation or anxiety to be determined, or levels of alertness to be assessed. This can be of particular use in areas such as immersive education, where an objective measure of task engagement would be of value. As such it may be possible to measure engagement but also to identify people who may not be able to engage fully, such as people with dyslexia.",

keywords = "BCI, usability, self-quantification, EEG",

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booktitle = "Unknown Host Publication",

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note = "2014 IEEE International Conference on Bioinformatics and Biomedicine ; Conference date: 01-11-2014",

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AU - Lightbody, G

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AU - Trainor, D

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N2 - This paper addresses the potential of the Brain Computer Interface (BCI) for self-quantification through recording and analysis of brain activity. From the electroencephalographic (EEG) signal it is possible to quantify and investigate brain activity, allowing, for example, a measure of engagement with tasks to be derived, states of relaxation or anxiety to be determined, or levels of alertness to be assessed. This can be of particular use in areas such as immersive education, where an objective measure of task engagement would be of value. As such it may be possible to measure engagement but also to identify people who may not be able to engage fully, such as people with dyslexia.

AB - This paper addresses the potential of the Brain Computer Interface (BCI) for self-quantification through recording and analysis of brain activity. From the electroencephalographic (EEG) signal it is possible to quantify and investigate brain activity, allowing, for example, a measure of engagement with tasks to be derived, states of relaxation or anxiety to be determined, or levels of alertness to be assessed. This can be of particular use in areas such as immersive education, where an objective measure of task engagement would be of value. As such it may be possible to measure engagement but also to identify people who may not be able to engage fully, such as people with dyslexia.

KW - BCI

KW - usability

KW - self-quantification

KW - EEG

M3 - Conference contribution

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ER -