Assessing Spatial and Temporal Reliability of the Vive System as a Tool for Naturalistic Behavioural Research Nowadays behavioral and cognitive neuroscience studies have turned xe2x80x98naturalisticxe2x80x99, aiming at understanding brain functions by maintaining complexity close to everyday life. Many scholars started using commercially available VR devices, which, were not conceived as research tools. It is therefore important to assess their spatiotemporal reliability and inform scholars about the basic resolutions they can achieve. Here we provide such an assessment for the VIVE (HTC Vive) by comparing it with a VICON (BONITA 10) system. Results show a submillimeter Vive precision (0.237mm) and a nearest centimeter accuracy (8.7mm static, 8.5mm dynamic). we also report the Vive reaction to a tracking loss: the system takes 319.5 xe2x88x92 16.8 ms to detect the loss and can still be perturbed for about 3 seconds after tracking recovery. The Vive device allows for fairly accurate and reliable spatiotemporal measurements and may be wellsuited for studies with typical human behavior, provided tracking loss is prevented.

New System to Measure Motion MotiontoPhoton Latency of Virtual Reality Head Mounted Display Head mounted display (HMD) is an important part of the virtual reality (VR) system and the main interface of virtual world. During the process of using HMD, there is a certain time gap between the useru0027s movement and the triggered change of display, which is referred to herein as a  Motionto Photon  latency. The latency may cause cybersickness which has an adverse effect on user experience and even physical health, so it is necessary to evaluate the latency of an HMD. We propose an automated and universal HMD latency measurement system. By simulating a userxe2x80x99s motion, we are able to measure MotiontoPhoton latency using the generated periodic signals in HMD, with accuracy and reliability confirmed by our experiments. The system is fully automatic and easy to use, and suitable for the HMD with insideout or outsidein positioning methods. It helps to improve both the detection level of existing HMDs and the user experience. It is of guiding significance for the design and manufacture of new HMD.