1 research outputs found
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design
Large language models (LLMs) have taken the scientific world by storm,
changing the landscape of natural language processing and human-computer
interaction. These powerful tools can answer complex questions and,
surprisingly, perform challenging creative tasks (e.g., generate code and
applications to solve problems, write stories, pieces of music, etc.). In this
paper, we present a collaborative game design framework that combines
interactive evolution and large language models to simulate the typical human
design process. We use the former to exploit users' feedback for selecting the
most promising ideas and large language models for a very complex creative task
- the recombination and variation of ideas. In our framework, the process
starts with a brief and a set of candidate designs, either generated using a
language model or proposed by the users. Next, users collaborate on the design
process by providing feedback to an interactive genetic algorithm that selects,
recombines, and mutates the most promising designs. We evaluated our framework
on three game design tasks with human designers who collaborated remotely.Comment: (Submitted