> For the complete documentation index, see [llms.txt](https://library.xrguild.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://library.xrguild.org/current-peer-reviewed-immersive-technologies/blendmr-a-computational-method-to-create-ambient-mixed-reality-interfaces.md).

# BlendMR: A Computational Method To Create Ambient Mixed Reality Interfaces

Mixed Reality (MR) systems display content freely in space, and present nearly arbitrary amounts of information, enabling ubiquitous access to digital information.

## Overview

**Authors:** Violet Han, Hyunsung Cho, Kiyosu Maeda, Alexandra Ion, David Lindlbauer

**Publication Date:** 1 January 2023

**Link:** <https://augmented-perception.org/publications/2023-blendmr.html>

**Keywords:** AR / VR / XR, Context-Aware Computing, diminished, semantic segmentation, Mixed Reality (MR), Virtual Content, Digital Information, Clutter, Distraction, BlendMR, ambient display, user environment

**Type:** Peer-Reviewed Journals/White Papers

## Summary

Mixed Reality (MR) systems display content freely in space, and present nearly arbitrary amounts of information, enabling ubiquitous access to digital information. This approach, however, introduces clutter and distraction if too much virtual content is shown. We present BlendMR, an optimization-based MR system that blends virtual content onto the physical objects in users' environments for ambient information display.


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