Analysis of Game Immersion using EEG signal for Computer Smart Interface Ga, Yunhan; Choi, Taejin; Yoon, Gilwon;
Recently computer games have been widely spread. For the purpose of studying brain activities, EEG was measured during the computer game and analyzed in terms of channels and frequency bands. EEG data were obtained during the resting state and game immersion. Then the power spectra of alpha, beta and theta bands were computed. During game immersion, the ratio between theta / alpha could effectively differentiate between rest and game immersion. Changes in brain activity (26~53%) were observed in the parietal and occipital lobes. Interestingly, immersion shows different features compared to concentration. The state of game immersion could be detected. Therefore, it is possible to utilize the state of immersion as one of the game parameters or to generate a control signal that may be used to provide a warning message or abort the game when the situation of the excessive indulgence in the game reaches. EEG can be applied as smart interface for computer game.
EEG;Immersion;computer game;smart interface;
Y.H.C. Yau, M.J. Crowley, L.C. Mayes, and M-.N. Potenza, "Are Internet use and video-game-playing addictive behaviors? Biological, clinical and public health implications for youths and adults", Minerva Psichiatr, Vol. 53, No. 3, pp. 153-170, 2012.
J. Lee, J. Hwang, S. Park, H. Jung, S. Choi, D. Kim, J. Lee, J. Choi, "Differential resting-state EEG patterns associated with comorbid depression in Internet addiction", Progress in Neuro-Psychopharmacology & Biological Psychiatry, Vol. 50, pp. 21-26, 2014.
J. Choi, S. Park, J. Lee, J. Hwang, H. Jung, S. Choi, D. Kim, S. Oh, J. Lee, "Resting-state beta and gamma activity in Internet addiction", Int.J. of Psychophysiology, Vol. 89, No. 3, pp. 328-333, 2013.
Talairach, J, Tournoux, P, Co-planar stereotaxic atlas of the human brain: 3-dimensional proportional system: an approach to cerebral imaging, Neuropsychologia, http://dx.doi.org/10.1111/mono.12083, 1988.
R. Berta, F. Bellotti, A.D. Gloria, D. Pranantha, and C. Schatten, "Electroencephalogram and physiological signal analysis for assessing flow in games", IEEE Trans. COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, Vol. 5, No. 2, pp 164-175, 2013.
Y. Sung, K. Cho, and K. Um, "A framework for processing brain waves used in a brain-computer interface", J. of Information Processing Systems, Vol. 8, No. 2, pp. 315-330, 2012.
D. Han, I. Lyoo, and P.F. Renshaw, "Differential regional gray matter volumes in patients with on-line game addiction and professional gamers", J. Psychiatric Research, Vol. 46, No. 4, pp. 507-515, 2012.
Y. Sun, H. Ying, R.M. Seetohul, W. Xuemei, Z. Ya, L. Qian, X. Guoqing, and S. Ye, "Brain fMRI study of crave induced by cue pictures in online game addicts"(male adolescents), Behavioural Brain Research, Vol. 233, No. 2, pp. 563-576, 2012.
F. L. LIn, C. L. Chang, Y. T. Jou, S. C. Pan, T. Y. Hsu, and C. D. Huang, "Effect of the Involvement Degree of Playing Video Games on Brain waves for an hour", 2010 IEEE 17Th Int. Conf. IE&EM, pp 1043-1047, Xiamen, China, 2010.
N. Kosmyna, F.T.Bernard, B.Rivet, "Conceptual priming for in-game BCI training", ACM Transactions on Computer- Human Interaction, Vol. 22, No. 5, 2015.
R. I. G. Betances, M. T. A. Waldmeyer, G. Fico, M. F. C. Umpierrez, "A succinct overview of virtual reality technology use in Alzheimer's disease , Frontiers in Aging Neuroscience, Vol. 7, 2015.