Neural Correlates of States of User Experience in Gaming using EEG and Predictive Analytics

Authors

Chandana Mallapragada, Missouri University of Science and TechnologyFollow
Fiona Fui-Hoon Nah, Missouri University of Science and TechnologyFollow
Keng Siau, Missouri University of Science and TechnologyFollow
Langtao Chen, Missouri University of Science and TechnologyFollow
Tejaswini Yelamanchili, Missouri University of Science and TechnologyFollow

Abstract

In this research, we will analyze EEG signals to obtain neural correlate classifications of user experience by applying predictive analytics. Boredom, flow, and anxiety are three states experienced by users interacting with a computer-based system. A within-subjects experiment was used to collect EEG data for these three states and a baseline. We will apply predictive analytics including linear regression, support vector machine, and neural networks to analyze and classify the EEG data for these three states of user experience.

Recommended Citation

Mallapragada, Chandana; Nah, Fiona Fui-Hoon; Siau, Keng; Chen, Langtao; and Yelamanchili, Tejaswini, "Neural Correlates of States of User Experience in Gaming using EEG and Predictive Analytics" (2018). MWAIS 2018 Proceedings. 37.
https://aisel.aisnet.org/mwais2018/37