lnu.sePublikasjoner
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
EEG-based Measurement of Subjective Parameters in Evaluations
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. University of Kaiserslauten, Germany. (ISOVIS)ORCID-id: 0000-0002-8585-3103
University of Kaiserslauten, Germany.
University of Kaiserslauten, Germany.
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. (ISOVIS)ORCID-id: 0000-0002-0519-2537
2011 (engelsk)Inngår i: HCI International 2011 Posters' Extended Abstracts: International Conference, HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part II / [ed] Stephanidis, Constantine, Berlin Heidelberg: Springer, 2011, s. 279-283Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Evaluating new approaches, be it new interaction techniques, new applications or even new hardware, is an important task, which has to be done to ensure both usability and user satisfaction. The drawback of evaluating subjective parameters is that this can be relatively time consuming, and the outcome is possibly quite imprecise. Considering the recent release of cost-efficient commercial EEG headsets, we propose the utilization of electro-encephalographic (EEG) devices for evaluation purposes. The goal of our research is to evaluate if a commercial EEG headset can provide cutting-edge support during user studies and evaluations. Our results are encouraging and suggest that wireless EEG technology is a viable alternative for measuring subjectivity in evaluation scenarios.

sted, utgiver, år, opplag, sider
Berlin Heidelberg: Springer, 2011. s. 279-283
Serie
Communications in Computer and Information Science, ISSN 1865-0929 ; 174
Emneord [en]
Evaluation techniques, Brain-Computer Interface (BCI), Electroencephalographic (EEG) interaction
HSV kategori
Forskningsprogram
Data- och informationsvetenskap, Datavetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-13918DOI: 10.1007/978-3-642-22095-1_57Scopus ID: 2-s2.0-79960384596ISBN: 978-3-642-22094-4 (tryckt)OAI: oai:DiVA.org:lnu-13918DiVA, id: diva2:437169
Konferanse
International Conference, HCI International 2011, Orlando, FL, USA, July 9-14, 2011
Tilgjengelig fra: 2011-08-26 Laget: 2011-08-26 Sist oppdatert: 2018-01-12bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Cernea, DanielKerren, Andreas

Søk i DiVA

Av forfatter/redaktør
Cernea, DanielKerren, Andreas
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 135 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