Enhancing User Experience Evaluation of Graphic Art Style Games through Collaboration with Generative AI

With the rapid development of generative artificial intelligence (AI) technology, its application in game design is becoming increasingly widespread. This paper aims to explore how generative AI can enhance user experience by augmenting graphic art style game design. Through the study of design theories, those theories that have a strong influence on graphic art style games are identified. Next, the paper proposes a generative AI-based game design method that combines prompts confirmation, the setting of generated images, and user feedback optimization, aiming to enhance the aesthetic quality and interactivity of the game. To evaluate the effectiveness of the method, this paper designs and implements an interview method and a questionnaire to collect data and find out the user experience of generative AI-generated graphic art style games. The experimental results show that generative AI not only significantly improves the efficiency of game design, but also allows for innovative graphics and element design. The findings of this paper provide new perspectives and methods for the application of AI in future game design and also lay the foundation for further exploring the potential of generative AI in other art style games.