Real-Time Collaborative Gaming using Multiagent Brain-Computer Interfaces

In this research explores the convergence of real- time collaborative gaming and multiagent brain-computer in- terfaces (BCIs), aiming to revolutionize interactive gaming ex- periences. The study investigates the feasibility and potential of employing BCIs to facilitate seamless and synchronized gameplay among multiple participants. The contemporary gaming landscape demands heightened immersion and interactivity. Traditional control interfaces often constrain the user experience. This paper addresses this challenge by proposing a novel approach that leverages multiagent BCIs to enhance real-time collaborative gaming engagement. A controlled experiment was conducted involving participants equipped with BCIs, interconnected to a gaming platform. Brain signals were recorded and analyzed to develop a multiagent framework for collaborative gameplay. The system allowed participants to influence game dynamics and communicate in real time through neural commands. The results demonstrate the successful integration of multiagent BCIs in collaborative gaming scenarios. Participants exhibited improved synchronization, leading to enhanced team coordination and gameplay immersion. This research paper aims to bridge the gap between real-time collaborative gaming and neural interfaces by introducing a multiagent BCI paradigm. By fostering enriched interaction and synchronized gameplay, this study contributes to the ongoing evolution of immersive gaming experiences, paving the way for future innovations at the intersection of gaming and neurotechnology.