Integrating Artificial Intelligence for Adaptive User Experiences in the Metaverse

Abstract

The metaverse is a collective virtual shared space built on a conglomerate of emerging media platforms including virtual reality (VR), augmented reality (AR), gamification and artificial intelligence (AI). A principal challenge in the metaverse will be to deliver engaging experiences for individual users. User behavior, adoption and interaction can vary greatly and personalisation will be a considerable problem to address. In this paper we examine the application of artificial intelligence (AI) for enabling an adaptive user experience within the metaverse. By leveraging machine learning, NLP and behavioural analytics we integrated a series of technologies to develop an adaptive framework for personalising virtual experiences for users. The framework applies predictive modeling techniques to generate insights that result in the adaptive transformation of virtual space to deliver highly personalized virtual experiences. Our results from simulations of real-world metaverse scenarios demonstrate that personalisation of virtual space significantly increased user engagement, interaction efficiency and overall experience for users, when compared with static experiences. We further extend our work to also support real-time adaptation by employing reinforcement learning techniques to select the most appropriate avatars, gestures, and other interactive parameters that can support the real-time human experience. The paper addresses the important challenge of personalization in the metaverse using systems that can scale to handle the large user base of the metaverse. The paper provides engaging, natural, and intelligent virtual reality experience. The paper also has practical implications for VR, HCI, and Intelligent Systems researchers and practitioners.