Finding Flow in Training Activities by Exploring Single-Agent Arcade Game Information Dynamics
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.
Domains
Computer Science [cs]Origin | Files produced by the author(s) |
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