# Towards a QoE Model to Evaluate Holographic Augmented Reality Devices

arXiv: https://arxiv.org/abs/2212.13842 · HTML: https://mlsanity.com/paper/2212.13842/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Dec 2022.

## Built on by (most cited first, 2 of 2)

- [A review on Machine Learning based User-Centric Multimedia Streaming Techniques](https://mlsanity.com/paper/2411.15801/) (2024)
- [Immersive Multimedia Communication: State-of-the-Art on eXtended Reality Streaming](https://mlsanity.com/paper/2506.10004/) (2025)

## Abstract (arXiv)

Augmented reality (AR) technology is developing fast and provides users with new ways to interact with the real-world surrounding environment. Although the performance of holographic AR multimedia devices can be measured with traditional quality-of-service parameters, a quality-of-experience (QoE) model can better evaluate the device from the perspective of users. As there are currently no well-recognized models for measuring the QoE of a holographic AR multimedia device, we present a QoE framework and model it with a fuzzy inference system to quantitatively evaluate the device.