Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device

Alaa Sinan Abbas Alkhafaji; Sanaz Fallahkhair; Ella Haig

doi:10.5220/0011600100003417

Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device

Alaa Sinan Abbas Alkhafaji^*, Sanaz Fallahkhair, Ella Haig

^*Corresponding author for this work

School of Computing

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

79 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Editors	Alexis Paljic, Mounia Ziat, Kadi Bouatouch
Publisher	SciTePress
Pages	101-108
Number of pages	8
Volume	2
ISBN (Print)	9789897586347
DOIs	https://doi.org/10.5220/0011600100003417
Publication status	Published - 6 Mar 2023
Event	HUCAPP 2023 - 7th International Conference on Human Computer Interaction Theory and Applications - Lisbon, Portugal Duration: 19 Feb 2023 → 21 Feb 2023 https://hucapp.scitevents.org/

Publication series

Name	Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Publisher	SciTePress
ISSN (Print)	2184-4321

Conference

Conference	HUCAPP 2023 - 7th International Conference on Human Computer Interaction Theory and Applications
Country/Territory	Portugal
City	Lisbon
Period	19/02/23 → 21/02/23
Internet address	https://hucapp.scitevents.org/

Access to Document

10.5220/0011600100003417

HUCAPP
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 - HUCAPP, ISBN 978-989-758-634-7; ISSN 2184-4321, pages 101-108. DOI: 10.5220/0011600100003417. © 2023 SciTePress, Science and Technology Publications.
Final published version, 6.61 MBLicence: CC BY-NC-ND

Cite this

Alkhafaji, A. S. A., Fallahkhair, S., & Haig, E. (2023). Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device. In A. Paljic, M. Ziat, & K. Bouatouch (Eds.), Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Vol. 2, pp. 101-108). (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications). SciTePress. https://doi.org/10.5220/0011600100003417

Alkhafaji, Alaa Sinan Abbas ; Fallahkhair, Sanaz ; Haig, Ella. / Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. editor / Alexis Paljic ; Mounia Ziat ; Kadi Bouatouch. Vol. 2 SciTePress, 2023. pp. 101-108 (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

@inproceedings{4fd02c974474446aa70bea60bb1a0681,

title = "Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device",

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{\textquoteright} 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{\textquoteright} experience was positive when used a mobile app to receive information regarding heritage places in the field. Moreover, several implications and challenge are outlined.",

author = "Alkhafaji, {Alaa Sinan Abbas} and Sanaz Fallahkhair and Ella Haig",

year = "2023",

month = mar,

day = "6",

doi = "10.5220/0011600100003417",

language = "English",

isbn = "9789897586347",

volume = "2",

series = "Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",

publisher = "SciTePress",

pages = "101--108",

editor = "Alexis Paljic and Mounia Ziat and Kadi Bouatouch",

booktitle = "Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",

note = "HUCAPP 2023 - 7th International Conference on Human Computer Interaction Theory and Applications ; Conference date: 19-02-2023 Through 21-02-2023",

url = "https://hucapp.scitevents.org/",

}

Alkhafaji, ASA, Fallahkhair, S & Haig, E 2023, Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device. in A Paljic, M Ziat & K Bouatouch (eds), Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. vol. 2, Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, SciTePress, pp. 101-108, HUCAPP 2023 - 7th International Conference on Human Computer Interaction Theory and Applications, Lisbon, Portugal, 19/02/23. https://doi.org/10.5220/0011600100003417

Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device. / Alkhafaji, Alaa Sinan Abbas; Fallahkhair, Sanaz; Haig, Ella.
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. ed. / Alexis Paljic; Mounia Ziat; Kadi Bouatouch. Vol. 2 SciTePress, 2023. p. 101-108 (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

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

TY - GEN

T1 - Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device

AU - Alkhafaji, Alaa Sinan Abbas

AU - Fallahkhair, Sanaz

AU - Haig, Ella

PY - 2023/3/6

Y1 - 2023/3/6

N2 - 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.

AB - 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.

U2 - 10.5220/0011600100003417

DO - 10.5220/0011600100003417

M3 - Conference contribution

SN - 9789897586347

VL - 2

T3 - Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

SP - 101

EP - 108

BT - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

A2 - Paljic, Alexis

A2 - Ziat, Mounia

A2 - Bouatouch, Kadi

PB - SciTePress

T2 - HUCAPP 2023 - 7th International Conference on Human Computer Interaction Theory and Applications

Y2 - 19 February 2023 through 21 February 2023

ER -

Alkhafaji ASA, Fallahkhair S, Haig E. Biometric evaluation to measure brain activity and users experience using electroencephalogram (EEG) device. In Paljic A, Ziat M, Bouatouch K, editors, Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 2. SciTePress. 2023. p. 101-108. (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications). Epub 2023 Mar 2. doi: 10.5220/0011600100003417