There are different techniques (e.g. direct or indirect observation, questionnaires, etc.) with which it is possible to estimate user experience. Biometric data obtained with different devices (e.g. EEG, EMG) have been used as a source to infer user experience. In this work, as part of the construction of an evaluation model of user experience, we present a preliminary study that seeks to identify emotions using records of brain electrical activity through the visualisation of preset images that stimulate emotions known a priori. The results include identifying emotions of joy and displeasure through brain activity using the Emotive device in older adults.
CITATION STYLE
Carrillo, I., Meza-Kubo, V., Morán, A. L., Galindo, G., & García-Canseco, E. (2015). Emotions identification to measure user experience using brain biometric signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9193, pp. 15–25). Springer Verlag. https://doi.org/10.1007/978-3-319-20892-3_2
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