Biometric Evaluation to Measure Brain Activity and Users Experience Using Electroencephalogram (EEG) Device

Alaa Alkhafaji, Alaa Alkhafaji, Sanaz Fallahkhair, Ella Haig

2023

Abstract

This paper presents an empirical study in the field to obtain preliminary insights evaluating the mobile application using an electroencephalogram (EEG) device (i.e. EMOTIV Insight headset). EMOTIV is a device to be worn on the head that monitors brain activity to further analyse them into meaningful data that can inform the results of measuring the users’ experience in terms of six cognitive metrics which are: stress, engagement, interest, focus, excitement and relaxation. A mixed methods approach was used adopting questionnaire, automated biometric data using EMOTIV and observations. The results suggest that the biometric data obtained from this device are reliable to some extent, but it is important to be combined with qualitative data using observational method in order to make sense of the results into different dimensions. This would help researchers, who are seeking a way to measure internal user experience both subjectively and objectively. Additionally, the results suggest that participants’ experience was positive when used a mobile app to receive information regarding heritage places in the field. Moreover, several implications and challenge are outlined.

Paper Citation

in Harvard Style

Alkhafaji A., Fallahkhair S. and Haig E. (2023). Biometric Evaluation to Measure Brain Activity and Users Experience Using Electroencephalogram (EEG) Device. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP; ISBN 978-989-758-634-7, SciTePress, pages 101-108. DOI: 10.5220/0011600100003417

in Bibtex Style

@conference{hucapp23,
author={Alaa Alkhafaji and Sanaz Fallahkhair and Ella Haig},
title={Biometric Evaluation to Measure Brain Activity and Users Experience Using Electroencephalogram (EEG) Device},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP},
year={2023},
pages={101-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011600100003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP
TI - Biometric Evaluation to Measure Brain Activity and Users Experience Using Electroencephalogram (EEG) Device
SN - 978-989-758-634-7
AU - Alkhafaji A.
AU - Fallahkhair S.
AU - Haig E.
PY - 2023
SP - 101
EP - 108
DO - 10.5220/0011600100003417
PB - SciTePress