Authors: Ryo Tachibana & Kazumichi Matsumiya

Title: Accuracy and precision of visual and auditory stimulus presentation in virtual reality in Python 2 and 3 environments for human behavior research.

Journal(書誌情報): Behavior Research Methods



Abstract: Virtual reality (VR) is a new methodology for behavioral studies. In such studies, the millisecond accuracy and precision of stimulus presentation are critical for data replicability. Recently, Python, which is a widely used programming language for scientific research, has contributed to reliable accuracy and precision in experimental control. However, little is known about whether modern VR environments have millisecond accuracy and precision for stimulus presentation, since most standard methods in laboratory studies are not optimized for VR environments. The purpose of this study was to systematically evaluate the accuracy and precision of visual and auditory stimuli generated in modern VR head-mounted displays (HMDs) from HTC and Oculus using Python 2 and 3. We used the newest Python tools for VR and Black Box Toolkit to measure the actual time lag and jitter. The results showed that there was an 18-ms time lag for visual stimulus in both HMDs. For the auditory stimulus, the time lag varied between 40 and 60 ms, depending on the HMD. The jitters of those time lags were 1 ms for visual stimulus and 4 ms for auditory stimulus, which are sufficiently low for general experiments. These time lags were robustly equal, even when auditory and visual stimuli were presented simultaneously. Interestingly, all results were perfectly consistent in both Python 2 and 3 environments. Thus, the present study will help establish a more reliable stimulus control for psychological and neuroscientific research controlled by Python environments.

著者Contact先の email: ryo.tachibana[at][at]を@に変更してください。)

世界的に増加しているVR研究に対して、近年主流のVRヘッドマウントディスプレイの視覚・聴覚・視聴覚刺激の精度を体系的に実証したものです。VR研究ではUnityなどの3Dゲーム開発エンジンが実験制御に用いられますが、本研究は最新のPython言語環境を使用して、具体的な呈示遅延や精度を明らかにしました。VR実験を行う際の参考になれば幸いです。論文プレリリースも公開されていますので、そちらもご参照ください (プレリリースURL:。