TY - JOUR AU - Harrison, Brent AU - Roberts, David PY - 2021/06/29 Y2 - 2024/03/28 TI - Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game JF - Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment JA - AIIDE VL - 10 IS - 1 SE - Full Oral Papers DO - 10.1609/aiide.v10i1.12713 UR - https://ojs.aaai.org/index.php/AIIDE/article/view/12713 SP - 23-29 AB - <p> This paper shows how game analytics can be used to dynamically adapt a casual, 2-D adventure game named <em>Sidequest: The Game</em> (SQ:TG) in order to increase session-level retention. Our technique involves using game analytics to create an abstracted <em>game analytic space</em> to make the problem tractable. We then model player retention in this space and move through this space in accordance to a target distribution of game states in order to influence player behavior. Experiments performed show that the adaptive version of SQ:TG is able to better fit a target distribution of game states while also significantly reducing the quitting rate compared to the non-adaptive version of the game. </p> ER -