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West Pomeranian University of Technology

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1 document by West Pomeranian University of Technology in the Game Industry Library, the newest “Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience” (2020).

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Cover of Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience
Whitepaper19 pages

Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience

International Journal of Computer Games Technology Volume 2020, Article ID 2450651, 19 pages https://doi.org/10.1155/2020/2450651 Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience Konrad Biercewicz ,1 Mariusz Borawski,1 and Jarosław Duda2 1Department of Multimedia Systems, Faculty…

  • Researchers identified optimal engagement indices for arcade-style games by correlating EEG brainwave data with subjective player feedback from a sample of 31 participants.
  • The study utilized four primary EEG frequency bands—Delta (0.5–4 Hz), Theta (4–8 Hz), Alpha (8–12 Hz), and Beta (12–30 Hz)—to monitor player states, including relaxation, deep meditation, and cognitive focus.
  • Data analysis was conducted using MATLAB R2019a and Statistica, employing ANOVA and the post hoc HSD Tukey test to determine statistically significant differences between engagement indices.
Game DesignAIGame Studies+1
HindawiAug 2020

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