Integrating GPT as an Assistant for Low-Cost Virtual Reality Escape-Room Games
Alan Rychert, María Luján Ganuza, Matías Nicolás Selzer
Abstract
This work explores the integration of generative pretrained transformer (GPT), an AI language model developed by OpenAI, as an assistant in low-cost virtual escape games. The study focuses on the synergy between virtual reality (VR) and GPT, aiming to evaluate its performance in helping solve logical challenges within a specific context in the virtual environment while acting as a personalized assistant through voice interaction. The findings from user evaluations revealed both positive perceptions and limitations of GPT in addressing highly complex challenges, indicating its potential as a valuable tool for providing assistance and guidance in problem-solving situations. The study also identified areas for future improvement, including adjusting the difficulty of puzzles and enhancing GPT's contextual understanding. Overall, the research sheds light on the opportunities and challenges of integrating AI language models such as GPT in virtual gaming environments, offering insights for further advancements in this field.