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Eye tracking usability testing enhanced with EEG analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016) 9746 399-411
DOI: 10.1007/978-3-319-40409-7_38
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Abstract

We proposed a study evaluating and verifying the validity of the enhancement of eye tracking usability testing with EEG analysis. The aim of our research was to find if there were any regularities and correlations between eye contact characteristics and emotional reaction during task performance. We defined different types of web elements (AOI) for the selected web application and we checked the values of user emotions as generated by EMOTIV EPOC while watching these AOI’s.

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Falkowska, J., Sobecki, J., & Pietrzak, M. (2016). Eye tracking usability testing enhanced with EEG analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9746, pp. 399–411). Springer Verlag. https://doi.org/10.1007/978-3-319-40409-7_38

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