Adaptive virtual opponents in an educational game

David Kristan (2020) Adaptive virtual opponents in an educational game. Diploma thesis.

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Abstract

Competition is one of basic elements of our society, which had accompanied us from the very beginning. It makes us go above our perceived limitations, increases our engagement and makes the world more interesting. Competitiveness rewards our skills, high lightens our weaknesses and reminds us of what we need to improve. In game development, player engagement is achieved by developing and delivering him/her the right amount of difficulty. New information can then be more easily acquired which is especially important in Serious Games. This paper describes how Dynamic Difficulty Adjustment techniques were used to create two strategic, goal-oriented computer-controlled (CC) players in order to deliver a higher level of competitiveness for the user in Transform@, and maximizing his learning abilities. With the upgrade of the current difficulty levels, the strength of the computer player increased by more than 100% and interaction with user player increased significantly. By developing a good strategy for the AI and using DDA the game includes now a powerful opponent which has increased the engagement level of the player.

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