Lune

IEEE VR2020Top-tier venue

Measuring System Visual Latency through Cognitive Latency on Video See-Through AR devices

Robert Gruen, Eyal Ofek, Anthony Steed, Ran Gal, Mike Sinclair, Mar González-Franco

2020Year
7Citations
1Top-tier citations

Abstract

Measuring Visual Latency in VR and AR devices has become increasingly complicated as many of the components will influence others in multiple loops and ultimately affect the human cognitive and sensory perception. In this paper we present a new method based on the idea that the performance of humans on a rapid motor task will remain constant, and that any added delay will correspond to the system latency. We ask users to perform a task inside different video see-through devices and also in front of a computer. We also calculate the latency of the systems using a hardware instrumentation-based measurement technique for bench-marking. Results show that this new form of latency measurement through human cognitive performance can be reliable and comparable to hardware instrumentation-based measurement. Our method is adaptable to many forms of user interaction. It is particularly suitable for systems, such as AR and VR, where externalizing signals is difficult, or where it is important to measure latency while the system is in use by a user.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext e140ecc2-46cc-4ed5-99b6-1467cd3ac556

Cited by top-tier papers1

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines