Searching for the metaverse

We present a system for collecting content from 3D multi-user virtual worlds for use in a cross-world search engine, an enabling technology for linking virtual worlds to the wider web. We use an intelligent agent crawler designed to collect user-generated content without relying on access to private internal server databases. The agents navigate autonomously through the world and interact with content to discover regions, parcels of land within regions, user-created objects, other avatars, and user associations. The experiments we performed are the first which focus on the content within a large virtual world. Our results show that virtual worlds can be effectively crawled using autonomous agent crawlers that emulate normal user behavior. Additionally, we find that the collection of interactive content enhances our ability to identify dynamic, immersive environments within the world.