Abstract
A new view on action video games has been evolving in the sphere of experimental psychology. Providing hand–eye coordination challenges, training with such types of games might allow the enhancement of different cognitive skills. Defining the specific game features that may be beneficial to specific enhancements is yet another challenge. This article presents an analysis on an experiment of a cooperative training session with bots. A method for online learning with a genetic algorithm is used to produce different ways of playing with the bots depending on the players’ achievements. This work also links related studies that provide insights into the beneficial implementation of game features for the training process. It additionally analyzes artificial intelligence methods that might be useful for personal development via a serious game or an action video game.
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Tsochev, G., Ukov, T., Rusev, A., & Sharabov, M. (2024). Insights into Applying Artificial Intelligence Methods in Action Video Games for Enhancement of Psychomotor Skills †. Engineering Proceedings, 70(1). https://doi.org/10.3390/engproc2024070050
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