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The High-working Load States Induced By Action Realtime Strategy Gaming: An EEG Power Spectrum And Network Study

Posted on:2022-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiFull Text:PDF
GTID:2480306524491614Subject:Master of Engineering
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With the increasing popularity of video games,the brain of game users is also affected by frequent use,which induces plasticity of brain function and structure.Therefore,it is necessary to study the potential activity changes of the brain in the process of games for deepening the theory of brain plasticity,and scientific treatment of the positive and negative influences of games on the brain.Action Real-time Strategy Gaming(ARSG)is a cognitively demanding dynamic interactive task that requires attention,sensorimotor skills,high-level team coordination,and strategy-making abilities.Thus,ARSG can offer important,new insights into learning-related neural plasticity.However,little research has examined how the brain allocates cognitive resources in ARSG.By analyzing power spectrums and electroencephalograph(EEG)functional connectivity(FC)networks,this study compared multiple conditions(resting,movie watching,ARSG,and Life simulation gaming – LSG)in two experiments.Consistent with previous research,we found that brain waves appeared to be de-assimilated after activation.Furthermore,results showed that ARSG was associated with higher activation and workload as indicated by ?-waves,and required higher attention as reflected by ?-waves.Furthermore,as participants began ARSG,the allocation of cognitive resource gradually prioritized the frontal area,which controls attention,decision-making,monitoring,and mnemonic processing,while participants also showed an enhanced ability to process information under the ARSG condition as indicated by network characteristics.These electrophysiological changes observed in ARSG were not found under LSG.Thus,this study applied both power spectrum and EEG FC networks analyses to ARSG research,revealing characteristics of brain waves in typical areas and how the brain gradually changes from low-working load states to high-working load states based on real-time EEG recordings.
Keywords/Search Tags:Electroencephalograph (EEG), Video gaming, Brain function network, workload, Phase locking value, Power spectrum
PDF Full Text Request
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