Researchers reference realism in digital games without sufficient specificity. Without clarity
about the dimensions of realism, we cannot assess how and when to aim for a higher …

Enjoyment is a widely assessed dimension of the video game player's experience. A
systematic literature review and a meta-analysis were conducted to provide a more …

Methods for dynamic difficulty adjustment allow games to be tailored to particular players to
maximize their engagement. However, current methods often only modify a limited set of …

Providing an appropriate difficulty level in a game is critical for kee** players engaged.
Dynamic Difficulty Adjustment (DDA) is a common approach for optimizing player …

Coverage-based greybox fuzzing (CGF) has been approved to be effective in finding
security vulnerabilities. Seed scheduling, the process of selecting an input as the seed from …

This paper presents a novel approach to automated playtesting for the prediction of human
player behavior and experience. We have previously demonstrated that Deep …

Abstract Dynamic Difficulty Adjustment (DDA) has garnered significant interest in game
research fields for many years. Despite high expectations, the effectiveness of DDA in …

Game agents such as opponents, non-player characters, and teammates are central to
player experiences in many modern games. As the landscape of AI techniques used in the …

Maintaining player engagement in serious management games is a challenge due to the
repetitive nature of traditional predetermined difficulty levels. A dynamic difficulty adjustment …

In this work, we propose a Dynamic Difficulty Adjustment methodology to achieve automatic
video game balance. The balance task is modeled as a meta game, a game where actions …