AN IMPROVEMENT OF METHOD FOR DIFFICULTY ADJUSTMENT BASED ON PROCEDURES IN THE GAME "LOST LABYRINTHS: ROGUE'S ODYSSEY"
The 2D platformer genre enjoys widespread popularity within the video game industry due to its engaging and enjoyable gameplay. However, maintaining an optimal difficulty level for players of varying skill levels presents a significant challenge for developers. This study investigates the implementation of a dynamic difficulty adjustment system within "Lost Labyrinths: Rogue's Odyssey," a 2D action platformer utilizing procedural content generation (PCG) for level design. Initial research identified key challenges, including maintaining consistent difficulty and ensuring long-term player engagement. To address these, a dynamic difficulty adjustment system was integrated alongside new game mechanics. Player feedback on an "Expert" game mode incorporating this system was collected. Results demonstrated the effectiveness of the dynamic difficulty adjustment system, with players expressing high satisfaction with the "Expert" mode. Features such as the "Fog of War" significantly enhanced the challenge and suspense, providing a more immersive and rewarding gameplay experience. This study highlights the potential of dynamic difficulty adjustment to significantly enhance the quality and player experience in 2D platformer games, offering a compelling solution for maintaining player engagement and extending game longevity.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-01-15
- DOI
- https://doi.org/10.5281/zenodo.15781497
- Primary Topic
- Artificial Intelligence in Games
- Type
- article
- Field-Weighted Citation Impact
- 0.00