Journal of Computer Sciences and Applications
ISSN (Print): 2328-7268 ISSN (Online): 2328-725X Website: Editor-in-chief: Minhua Ma, Patricia Goncalves
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Journal of Computer Sciences and Applications. 2015, 3(5), 105-111
DOI: 10.12691/jcsa-3-5-1
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A New Methodology of Usability Testing on the Base of the Analysis of User’s Electroencephalogram

Alfimtsev A.N.1, Basarab M.A.2, , Devyatkov V.V.1 and Levanov A.A.1

1Department of Information Systems and Telecommunications, Bauman Moscow State Technical University, Moscow, Russia

2Department of Information Security, Bauman Moscow State Technical University, Moscow, Russia

Pub. Date: December 08, 2015

Cite this paper:
Alfimtsev A.N., Basarab M.A., Devyatkov V.V. and Levanov A.A.. A New Methodology of Usability Testing on the Base of the Analysis of User’s Electroencephalogram. Journal of Computer Sciences and Applications. 2015; 3(5):105-111. doi: 10.12691/jcsa-3-5-1


This paper discusses the methodology of usability testing on the base of the real-time analysis of user’s electroencephalogram (EEG). In the experimental study of the control groups of users working with a real interface of commercially relevant applications, two distinct user states were revealed which correspond to the superposition of EEG beta and delta brain waves corresponding to the so-called «calm» state and «excited» state. These states are characterized by the user experience with a friendly user interface and an interface that is considered by experts as subjectively complicated and confusing. On the basis of the obtained data, some improvements in the users interface for mobile devices were proposed, which led to a threefold increase in its CRT (click-through rate).

usability engineering conversion optimization usability testing electroencephalogram brain waves contextual advertising ctr user interface web interface user experience experimental research

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