Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions

Author:

Kim Joohwan1,Knowles Pyarelal1,Spjut Josef1,Boudaoud Ben1,Mcguire Morgan1

Affiliation:

1. NVIDIA

Abstract

End-to-end latency in remote-rendering systems can reduce user task performance. This notably includes aiming tasks on game streaming services, which are presently below the standards of competitive first-person desktop gaming. We evaluate the latency-induced penalty on task completion time in a controlled environment and show that it can be significantly mitigated by adopting and modifying image and simulation-warping techniques from virtual reality, eliminating up to 80% of the penalty from 80 ms of added latency. This has potential to enable remote rendering for esports and increase the effectiveness of remote-rendered content creation and robotic teleoperation. We provide full experimental methodology, analysis, implementation details, and source code.

Publisher

Association for Computing Machinery (ACM)

Subject

General Arts and Humanities

Reference43 articles.

1. Accuracy in dead-reckoning based distributed multi-player games

2. Real-time frame rate up-conversion for video games

3. The effects of loss and latency on user performance in unreal tournament 2003®

4. Yahn W. Bernier. 2003. Latency Compensating Methods in Client/Server In-game Protocol Design and Optimization. (2003). Yahn W. Bernier. 2003. Latency Compensating Methods in Client/Server In-game Protocol Design and Optimization. (2003).

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