Towards a QoE Model to Evaluate Holographic Augmented Reality Devices
Longyu Zhang, Haiwei Dong, and Abdulmotaleb El Saddik

TL;DR
This paper proposes a new QoE model for holographic AR devices using a fuzzy inference system to better evaluate user experience beyond traditional performance metrics.
Contribution
It introduces the first comprehensive QoE framework and model specifically designed for holographic AR multimedia devices.
Findings
Developed a fuzzy inference system-based QoE model
Provides a quantitative evaluation method for holographic AR devices
Addresses the lack of existing QoE models for holographic AR
Abstract
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.
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