Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat 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 (Engelska)Ingår i: PROCEEDINGS OF EASE 2019 - EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING, Association for Computing Machinery , 2019, s. 313-318Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery , 2019. s. 313-318
Nyckelord [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
Nationell ämneskategori
Programvaruteknik
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
Konferens
23rd Evaluation and Assessment in Software Engineering Conference, EASE Copenhagen, 14 April 2019 through 17 April
Tillgänglig från: 2019-05-21 Skapad: 2019-05-21 Senast uppdaterad: 2019-11-14Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Molléri, Jefferson SeideFotrousi, FarnazPetersen, Kai

Sök vidare i DiVA

Av författaren/redaktören
Molléri, Jefferson SeideFotrousi, FarnazPetersen, Kai
Av organisationen
Institutionen för programvaruteknik
Programvaruteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 40 träffar
RefereraExporteraLänk till posten
Permanent länk

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