Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Experiences of studying attention through EEG in the context of review tasks
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Syddansk Universitet, DEN.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
2019 (engelsk)Inngår i: PROCEEDINGS OF EASE 2019 - EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING, Association for Computing Machinery , 2019, s. 313-318Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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. © 2019 Association for Computing Machinery.

sted, utgiver, år, opplag, sider
Association for Computing Machinery , 2019. s. 313-318
Emneord [en]
Attention, Electroencephalogram, Experiment, Human subjects, Bioelectric phenomena, Electroencephalography, Engineering research, Experiments, Cognitive information, Electro-encephalogram (EEG), Human aspects, Project plans, Research tools, Software engineering
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-17890DOI: 10.1145/3319008.3319357ISI: 000493383400033Scopus ID: 2-s2.0-85064765914ISBN: 9781450371452 (tryckt)OAI: oai:DiVA.org:bth-17890DiVA, id: diva2:1316771
Konferanse
23rd Evaluation and Assessment in Software Engineering Conference, EASE Copenhagen, 14 April 2019 through 17 April
Tilgjengelig fra: 2019-05-21 Laget: 2019-05-21 Sist oppdatert: 2019-11-14bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Molléri, Jefferson SeideFotrousi, FarnazPetersen, Kai

Søk i DiVA

Av forfatter/redaktør
Molléri, Jefferson SeideFotrousi, FarnazPetersen, Kai
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 40 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf