# 3D Material Machine learning ONSTON's 3D avatar for XR (Extended Reality) based on 3D machine learning accurately reproduces the user's facial movements and appearance, so it can be used seamlessly to convey emotions and body language to others. This further emphasizes the importance of their existence. Full body realism is still in its infancy, but it offers opportunities as technology advances rapidly. Emotional expression conveyed through body language and facial expressions are actually more important than photorealism in creating fully immersive interactions. {% hint style="info" %} XR (eXtended Reality) is a term that refers to a technology that enables mixed reality or mixed reality, including virtual reality and augmented reality. Interaction and experience in three-dimensional space. It is attracting attention as a technology that can increase realistic immersion in untact services. {% endhint %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://onston-network.gitbook.io/onston-white-paper/onston-technology/3d-material-machine-learning.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.