Experiences of studying Attention through EEG in the Context of Review Tasks

Jefferson Molléri, Indira Nurdiani Jabangwe*, Farnaz Fotrousi, Kai Petersen

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

Context: Electroencephalograms (EEG) have been used in a few cases in the context of software engineering (SE). EEGs allow capturing emotions and cognitive functioning. Such human factors have already shown to be important to understand software engineering tasks. Therefore, it is essential to gain experience in the community to utilize EEG as a research tool. Objective: To report experiences of using EEG in the context of a software engineering education (review of master theses proposals). We provide our reflections and lessons learned of (1) how to plan an EEG study, (2) how to conduct and execute (e.g., tools), (3) how to analyze. Method: We carried out an experiment using an EEG headset to measure the participants' attention rate. The experiment task includes reviewing three master thesis project plans. Results: We describe how we evolved our understanding of experimentation practices to collect and analyze psychological and cognitive data. We also provide a set of lessons learned regarding the application of EEG technology for research. Conclusions: We believe that that EEG could benefit software engineering research to collect cognitive information under certain conditions. The lessons learned reported here should be used as inputs for future experiments in software engineering, where human aspects are of interest.
OriginalsprogEngelsk
TitelProceedings of the Evaluation and Assessment on Software Engineering (EASE '19 )
Udgivelses stedNew York
ForlagAssociation for Computing Machinery
Publikationsdato15. apr. 2019
Sider313-318
ISBN (Elektronisk)9781450371452
DOI
StatusUdgivet - 15. apr. 2019
Begivenhed23rd International Conference on Evaluation and Assessment on Software Engineering - København, Danmark
Varighed: 15. apr. 201917. apr. 2019

Konference

Konference23rd International Conference on Evaluation and Assessment on Software Engineering
LandDanmark
ByKøbenhavn
Periode15/04/201917/04/2019

Fingeraftryk

Electroencephalography
Software engineering
Engineering research
Experiments
Engineering education
Human engineering

Citer dette

Molléri, J., Jabangwe, I. N., Fotrousi, F., & Petersen, K. (2019). Experiences of studying Attention through EEG in the Context of Review Tasks. I Proceedings of the Evaluation and Assessment on Software Engineering (EASE '19 ) (s. 313-318). New York: Association for Computing Machinery. https://doi.org/10.1145/3319008.3319357
Molléri, Jefferson ; Jabangwe, Indira Nurdiani ; Fotrousi, Farnaz ; Petersen, Kai. / Experiences of studying Attention through EEG in the Context of Review Tasks. Proceedings of the Evaluation and Assessment on Software Engineering (EASE '19 ). New York : Association for Computing Machinery, 2019. s. 313-318
@inproceedings{d6781f40a33b4ee293ae7c9adea5e2e2,
title = "Experiences of studying Attention through EEG in the Context of Review Tasks",
abstract = "Context: Electroencephalograms (EEG) have been used in a few cases in the context of software engineering (SE). EEGs allow capturing emotions and cognitive functioning. Such human factors have already shown to be important to understand software engineering tasks. Therefore, it is essential to gain experience in the community to utilize EEG as a research tool. Objective: To report experiences of using EEG in the context of a software engineering education (review of master theses proposals). We provide our reflections and lessons learned of (1) how to plan an EEG study, (2) how to conduct and execute (e.g., tools), (3) how to analyze. Method: We carried out an experiment using an EEG headset to measure the participants' attention rate. The experiment task includes reviewing three master thesis project plans. Results: We describe how we evolved our understanding of experimentation practices to collect and analyze psychological and cognitive data. We also provide a set of lessons learned regarding the application of EEG technology for research. Conclusions: We believe that that EEG could benefit software engineering research to collect cognitive information under certain conditions. The lessons learned reported here should be used as inputs for future experiments in software engineering, where human aspects are of interest.",
keywords = "Attention, Electroencephalogram, Experiment, Human subjects",
author = "Jefferson Moll{\'e}ri and Jabangwe, {Indira Nurdiani} and Farnaz Fotrousi and Kai Petersen",
year = "2019",
month = "4",
day = "15",
doi = "10.1145/3319008.3319357",
language = "English",
pages = "313--318",
booktitle = "Proceedings of the Evaluation and Assessment on Software Engineering (EASE '19 )",
publisher = "Association for Computing Machinery",
address = "United States",

}

Molléri, J, Jabangwe, IN, Fotrousi, F & Petersen, K 2019, Experiences of studying Attention through EEG in the Context of Review Tasks. i Proceedings of the Evaluation and Assessment on Software Engineering (EASE '19 ). Association for Computing Machinery, New York, s. 313-318, 23rd International Conference on Evaluation and Assessment on Software Engineering, København, Danmark, 15/04/2019. https://doi.org/10.1145/3319008.3319357

Experiences of studying Attention through EEG in the Context of Review Tasks. / Molléri, Jefferson; Jabangwe, Indira Nurdiani; Fotrousi, Farnaz; Petersen, Kai.

Proceedings of the Evaluation and Assessment on Software Engineering (EASE '19 ). New York : Association for Computing Machinery, 2019. s. 313-318.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Experiences of studying Attention through EEG in the Context of Review Tasks

AU - Molléri, Jefferson

AU - Jabangwe, Indira Nurdiani

AU - Fotrousi, Farnaz

AU - Petersen, Kai

PY - 2019/4/15

Y1 - 2019/4/15

N2 - Context: Electroencephalograms (EEG) have been used in a few cases in the context of software engineering (SE). EEGs allow capturing emotions and cognitive functioning. Such human factors have already shown to be important to understand software engineering tasks. Therefore, it is essential to gain experience in the community to utilize EEG as a research tool. Objective: To report experiences of using EEG in the context of a software engineering education (review of master theses proposals). We provide our reflections and lessons learned of (1) how to plan an EEG study, (2) how to conduct and execute (e.g., tools), (3) how to analyze. Method: We carried out an experiment using an EEG headset to measure the participants' attention rate. The experiment task includes reviewing three master thesis project plans. Results: We describe how we evolved our understanding of experimentation practices to collect and analyze psychological and cognitive data. We also provide a set of lessons learned regarding the application of EEG technology for research. Conclusions: We believe that that EEG could benefit software engineering research to collect cognitive information under certain conditions. The lessons learned reported here should be used as inputs for future experiments in software engineering, where human aspects are of interest.

AB - Context: Electroencephalograms (EEG) have been used in a few cases in the context of software engineering (SE). EEGs allow capturing emotions and cognitive functioning. Such human factors have already shown to be important to understand software engineering tasks. Therefore, it is essential to gain experience in the community to utilize EEG as a research tool. Objective: To report experiences of using EEG in the context of a software engineering education (review of master theses proposals). We provide our reflections and lessons learned of (1) how to plan an EEG study, (2) how to conduct and execute (e.g., tools), (3) how to analyze. Method: We carried out an experiment using an EEG headset to measure the participants' attention rate. The experiment task includes reviewing three master thesis project plans. Results: We describe how we evolved our understanding of experimentation practices to collect and analyze psychological and cognitive data. We also provide a set of lessons learned regarding the application of EEG technology for research. Conclusions: We believe that that EEG could benefit software engineering research to collect cognitive information under certain conditions. The lessons learned reported here should be used as inputs for future experiments in software engineering, where human aspects are of interest.

KW - Attention

KW - Electroencephalogram

KW - Experiment

KW - Human subjects

U2 - 10.1145/3319008.3319357

DO - 10.1145/3319008.3319357

M3 - Article in proceedings

SP - 313

EP - 318

BT - Proceedings of the Evaluation and Assessment on Software Engineering (EASE '19 )

PB - Association for Computing Machinery

CY - New York

ER -

Molléri J, Jabangwe IN, Fotrousi F, Petersen K. Experiences of studying Attention through EEG in the Context of Review Tasks. I Proceedings of the Evaluation and Assessment on Software Engineering (EASE '19 ). New York: Association for Computing Machinery. 2019. s. 313-318 https://doi.org/10.1145/3319008.3319357