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Measuring Subjectivity: Supporting Evaluations with the Emotiv EPOC Neuroheadset
University of Kaiserslautern. (ISOVIS)ORCID iD: 0000-0002-8585-3103
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2012 (English)In: Künstliche Intelligenz, ISSN 0933-1875, E-ISSN 1610-1987, Vol. 26, no 2, p. 177-182Article in journal (Refereed) Published
Abstract [en]

Since the dawn of the industrial era, modern devices and interaction methods have undergone rigorous evaluations in order to ensure their functionality and quality, as well as usability. While there are many methods for measuring objective data, capturing and interpreting subjective factors—like the feelings or states of mind of the users—is still an imprecise and usually post-event process. In this paper we propose the utilization of the Emotiv EPOC commercial electroencephalographic (EEG) neuroheadset for real-time support during evaluations and user studies. We show in two evaluation scenarios that the wireless EPOC headsets can be used efficiently for supporting subjectivity measurement. Additionally, we highlight situations that may result in a lower accuracy, as well as explore possible reasons and propose solutions for improving the error rates of the device.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2012. Vol. 26, no 2, p. 177-182
Keywords [en]
Evaluation techniques, Brain-computer interface (BCI), Electroencephalography (EEG), Error reduction
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science; Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-16759DOI: 10.1007/s13218-011-0165-0ISI: 000410079100009Scopus ID: 2-s2.0-84976434962OAI: oai:DiVA.org:lnu-16759DiVA, id: diva2:477029
Note

Special Issue on Human-Computer Interaction

Available from: 2012-01-12 Created: 2012-01-12 Last updated: 2022-10-17Bibliographically approved

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Cernea, DanielKerren, Andreas

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CiteExportLink to record
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