Keywords and Phrases
Electroencephalogram; Fast Fourier Transformation; Flow; Frontal; Parietal; Occipital; Frontal-Temporal; Human-Computer Interaction; Mid-Beta; Theta; Alpha; Neural Correlates
"Games are engaging and captivating from a human-computer interaction (HCI) perspective as they can facilitate a highly immersive experience. This research examines the neural correlates of flow, boredom, and anxiety during video gaming. A within-subject experimental study (N = 44) was carried out with the use of electroencephalogram (EEG) to assess the brain activity associated with three states of user experience - flow, boredom, and anxiety - in a controlled gaming environment. A video game, Tetris, was used to induce flow, boredom, and anxiety. A 64 channel EEG headset was used to track changes in activation patterns in the frontal, temporal, parietal, and occipital lobes of the players' brains during the experiment. EEG signals were pre-processed and Fast Fourier Transformation values were extracted and analyzed. The results suggest that the EEG potential in the left frontal lobe is lower in the flow state than in the resting and boredom states. The occipital alpha is lower in the flow state than in the resting state. Similarly, the EEG theta in the left parietal lobe is lower during the flow state than the resting state. However, the EEG theta in the frontal-temporal region of the brain is higher in the flow state than in the anxiety state. The flow state is associated with low cognitive load, presence of attention levels, and loss of self-consciousness when compared to resting and boredom states"--Abstract, page iii.
Nah, Fiona Fui-Hoon, 1966-
Siau, Keng, 1964-
Hall, Richard H.
Business and Information Technology
M.S. in Information Science and Technology
Missouri University of Science and Technology
x, 112 pages
© 2018 Tejaswini Yelamanchili, All rights reserved.
Thesis - Open Access
Electronic OCLC #
Yelamanchili, Tejaswini, "Neural correlates of flow, boredom, and anxiety in gaming: An electroencephalogram study" (2018). Masters Theses. 7812.