The prototype maintains total end-to-end latency of 3-5 seconds between query completion and RAG-generated response delivery¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims¶

q2 i? Empirical testing on a Meta Quest 3 interfaced with a dedicated backend server over a LAN measured total latency of 3-5 seconds, judged suitable for HDR training by domain experts. → Ronghua Xu 2026

Evidence¶

Ronghua Xu 2026¶

Ronghua Xu, Kepha Barasa, Manoj Kumal, Xinyun Liu, Weihua Zhou, Xin Qian. (2026). Agentic AI-driven Immersive Simulation: A Knowledge-Aware Virtual Training Platform for High Dose Rate (HDR) Brachytherapy. arXiv. https://arxiv.org/abs/2608.08163 doi:10.48550/arxiv.2608.08163

q2 · i? · design · r2

Latency measurement on the prototype testbed: 50 Monte Carlo runs on a Meta Quest 3 linked to a dedicated backend server via LAN, with results shown in Table II. The article reports "a network-related delay of 2-3 seconds" and a total of 3-5 seconds, deemed acceptable with thinking animations.

"We conduct 50 Monte Carlo runs to evaluate the average latency, as shown in Table II. The total latency can be divided into network latency and inference latency."

Discussion¶

Related Claims¶

• The ELEVATE server pipeline runs locally on two heterogeneous consumer machines, keeping LLM and TTS models fully resident in memory for low-latency inference — related
• An ELEVATE prototype achieves near real-time end-to-end tutoring interaction on consumer-grade school hardware without cloud GPUs — a broader claim this one bears on
• On the live single-node deployment, short-answer rounds take ≈32 s (≈$0.015/round) while multiple-choice rounds are ≈4× faster (≈7.6 s, ≈$0.005/round) because grading is deterministic — related
• The most energy-efficient tested configuration consumes 1.8 mWh per query, a 43.8% reduction relative to the Qwen-7B FP16 baseline — related
• The 3B VR classroom system achieves an average end-to-end latency of approximately 73 ms, below the 150 ms threshold required for real-time interactions — related