Neural correlates of states of user experience in gaming using EEG and predictive analytics

Neural correlates of states of user experience in gaming using EEG and predictive analytics

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 EE...

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Bibliographic Details
Main Authors: MALLAPRAGADA, Chandana, NAH, Fiona Fui-Hoon, SIAU, Keng, CHEN, Langtao, YELAMANCHILI, Tejaswini
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
neural correlates
electroencephalogram
predictive analytics
linear regression
support vector machine
neural networks.
Graphics and Human Computer Interfaces
Systems Architecture
Online Access:https://ink.library.smu.edu.sg/sis_research/9527
https://ink.library.smu.edu.sg/context/sis_research/article/10527/viewcontent/Neural_correlates_of_states_of_user_experience_in_gaming_using_EEG_and_predictive_analytics.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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