“PADS: Enhancing Gaming Experience Using Profile-Based Adaptive Difficulty System” by Yun, Trevino, Holtkamp and Deng

  • ©Chang Yun, Philip Trevino, William Holtkamp, and Zhigang Deng

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    PADS: Enhancing Gaming Experience Using Profile-Based Adaptive Difficulty System



Description:


    This paper presents a novel methodology that uses a profile-based adaptive difficulty system (PBADS) to automatically adjust game difficulty throughout the game play. The approach creates a player profile based on the player’s gaming experience and objectives. Utilizing this profile and a performance-based algorithm, the PBADS customizes the game’s difficulty levels to accommodate each player. Experimental results demonstrate improvements in both perceived and actual game experience. With this approach, developers can create a personalized, user-centered environent that transforms traditional program-centered video games.


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