Gruen, R; Ofek, E; Steed, A; Gal, R; Sinclair, M; Gonzalez-Franco, M; (2020) Measuring System Visual Latency through Cognitive Latency on Video See-Through AR devices. In: (Proceedings) 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). (pp. pp. 791-799). IEEE: Atlanta, GA, USA.

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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.

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