Abstract
This paper incorporates discussion about game refinement theory and the flow model to analyze simulation data collected from two types of arcade games. A mathematical model of the arcade game processes is formulated. The essence of the arcade games is verified through the game-playing processes of players. In particular, challenge setup could contribute to the addictiveness when the mode is close to flow channel. Risk frequency ratio is applied to measure the process and verified the more entertaining mode of training activities.
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Notes
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Arcade Game, http://en.wikipedia.org/wiki/Arcade_game.
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\(H(X)= - \sum _{i}P(x_{i})\log _{b}P(x_{i})\), information entropy by C.E., Shannon.
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Gao, Y., Gao, N., Khalid, M.N.A., Iida, H. (2020). Finding Flow in Training Activities by Exploring Single-Agent Arcade Game Information Dynamics. In: Nunes, N.J., Ma, L., Wang, M., Correia, N., Pan, Z. (eds) Entertainment Computing – ICEC 2020. ICEC 2020. Lecture Notes in Computer Science(), vol 12523. Springer, Cham. https://doi.org/10.1007/978-3-030-65736-9_11
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