University of Geneva holds 1 granted patent in the category of Game Mechanics (1).
The patent covers an AI-driven adaptive difficulty engine designed for therapeutic video games that train cognitive functions such as attention and learning-to-learn. The technology employs probabilistic multi-dimensional level adjustment to modify game difficulty in response to player performance.
The game mechanics patent addresses a core challenge in therapeutic gaming: how to adjust difficulty in a way that targets specific cognitive skills rather than simply making everything harder or easier at once. Instead of the traditional single slider that increases or decreases overall challenge, the system treats difficulty as a multidimensional space where factors like speed, the number of distractors, and session duration can be tuned independently. A series of stacked probabilistic processes determine not only how much to adjust each dimension but also which dimension to modify next, selecting based on how far each is from its maximum value. The architecture separates the game into an action hub and cognitive satellite modules, dynamically reallocating how long each module is exposed to the player based on performance history in that particular module.
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