Abstract: This paper describes the current state of the work aimed towards an affective application of BCI to the task of complex data visual exploration. The developed technological approach exploits the idea of supporting tacit and complex domain-specific knowledge acquisition during the examination of visual images built using large input data sets. The presented experimental research on the complex network data exploration process shows the capabilities of the presented approach through the analysis of a user’s affective state estimation.

Sergey V. Kovalchuk, Denis M. Terekhov, Aleksey A. Bezgodov and Alexander V. Boukhanovsky, “Visual Exploration of Complex Network Data Using Affective Brain-Computer Interface” International Journal of Advanced Computer Science and Applications(IJACSA), 4(7), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040703

@article{Kovalchuk2013,
title = {Visual Exploration of Complex Network Data Using Affective Brain-Computer Interface},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040703},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040703},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Sergey V. Kovalchuk and Denis M. Terekhov and Aleksey A. Bezgodov and Alexander V. Boukhanovsky}
}