The advancement and integration of Serious Games significantly impact various industries, including medicine, pharmaceuticals, fitness and wellness, and insurance. Many popular exergames, such as Pokémon Go and BeatSaber, are known for enhancing motivation and making physical activity more accessible. However, they cannot replace traditional sports. While some exergames lack the personalization needed to accurately challenge and support the player, more fitness-oriented approaches often lack the necessary gameplay elements to sustain long-term motivation in their players. This paper aims to analyze how long-term motivational game elements based on different player types affect the game experience and the quality of cardio training in personalized exergames. Emphasis was placed on increasing personalization by expanding gameplay and implementing intelligent world generation based on players’ physical conditions. An ergometer-based serious game designed to improve physical activity and long-term motivation was developed and qualitatively tested in two experiments. These experiments were conducted at different stages of development to adjust the game according to initial results. The first study involved 12 participants, while 20 participants joined the second one. The experiments investigated and quantified the quality of game experience and cardio training. The results showed clear improvements in both: game experience and the quality of cardio training. However, they also demonstrated that simple personalization based on heart rate and BMI alone cannot fully accommodate the diverse physiques of all players.