Decision Making in Process of Board Games Artwork Design Using Generative Artificial Intelligence Applications

Abstract

The modern world is undergoing rapid changes in various fields of activity, and development of board game design is no exception. One of the most exciting and promising directions in this field has become the use of neural networks for image generation, which has already received its own name — Generative Artificial Intelligence (GAI). This opens up new horizons for board game designers, allowing them to quickly and with minimal expenditure of money to create attractive design elements. GAI stands out as a tool capable of generating images based on text queries. The paper examines the decision-making process, that the designer and GAI specialist make during development of illustrations for a board game. In this process, the designer formulates a request and a technical task, based on which the GAI specialist creates a number of images, from which, under designer guidance, the most acceptable in terms of content, style and other special conditions of the image are selected, remaining for further refinement. After finishing with the help of a neural network the most acceptable images, the illustrations are refined by the designer himself to bring these images to look necessary for the task, but with those aspects, that the neural network is not able to solve due to technical limitations. So, thanks to the neural network, it is possible to quickly obtain unique images for a technical task; the chain of specialists needed to work on this task is reduced, thereby reducing financial and time costs for product production.

Keywords

• board game illustration design
• generative artificial intelligence
• decision making process
• prompts
• graphic design
• image generation