AI can be used to enhance the metaverse experience for users in various ways, according to Global metaverse company Trace Network Labs. By examining real-world examples such as Buddy, the digital avatar, and MetaStore, the virtual showroom and store, the company has explained the various ways in which AI can augment the metaverse experience for users.
One way AI can be used in the metaverse is for personalisation. AI can be used to personalise the metaverse experience for each individual user, including customising Buddy avatars, adjusting the environment to match personal preferences, and even suggesting activities based on a user’s past behaviour, Trace Network Labs said in a blogpost.
Additionally, AI can be used to create more intuitive navigation and interaction within the metaverse. This could involve the use of natural language processing and computer vision to allow users to interact with the metaverse and each other in more human-like ways.
Another area where AI can be utilised in the metaverse is content generation. AI can be used to automatically generate a variety of content within the metaverse, including buildings, landscapes, and even characters. This can be done in real-time, allowing for a continually evolving metaverse that can change and adapt based on user behaviour.
Furthermore, AI can be used to automate the moderation of content and behaviour within the metaverse, helping to keep the virtual world a safe and enjoyable place for all users.
Overall metaverse experience can be improved by using AI to gather data and insights about user behaviour within the metaverse.
Buddy avatars, clothing, and experiences can also be greatly enhanced by AI in the metaverse. AI can be used to create Buddy avatars that are more personalised and realistic, as well as digital clothing and accessories that are more detailed and realistic.
Immersive experiences, including virtual MetaStores and shopping experiences can be created and managed within the metaverse by using AI. Inventory management can also be improved through the use of AI, which can predict consumer demand and manage inventory levels in real-time.
AI has the potential to greatly enhance various aspects of the metaverse, making it more personalised, intuitive, and dynamic. From personalisation and content generation to shopping and inventory management, the applications of AI in the metaverse are vast and varied. As the metaverse continues to evolve, AI is sure to play a key role in shaping its future, through examples such as Buddy and MetaStore, Trace Network Labs concluded.