I7 processor

To underscore that meaningful Bayesian inference does not require cluster computing or extensive computational resources, all computations were performed on a Windows MSI GS-66 laptop with an Intel i7 processor with an Nvidia RTX2070 GPU. Our inference programs are CPU-bound, not requiring any GPU resources. Computations can be performed on most modern CPUs, but are accelerated with more CPU threads and cores and parallelization on GPUs.

All the implementations were performed in Python version 3.9.0 with TensorFlow version 2.7.0 [30 ] on a machine equipped with Intel i7 Processor, 16 GB RAM, and Nvidia 3050Ti GPU. The operating system used was Windows 11 Pro.

Virtual reality devices included HTC VIVE Pro HMD, emitters, and VIVE Controllers. VIVE controllers were used to interact with virtual scenes. Experiment was monitored by experimenters using desktop computers (Intel i7 processors, 8 GB of memory, NVIDIA GeForce GTX 1070 graphics cards). Computers and virtual reality devices were connected via data lines.

All the ED Units that participated in the study had a complete VR package and powerful VR-ready computers equipped with high-end CPU processors (i.e., Intel i7 processors) and powerful graphic cards (i.e., Nvidia GTX 1080) to fluently run 3D immersive virtual environments. The whole VR system included head-mounted displays (HTC-VIVE HMD), two different VR controllers that the patient held in their hands, and three additional body trackers that were attached to the feet and waist of the patients. All the equipment, including the VR-HMD, controllers, and body trackers, was used to capture the whole body movements of the patients (full-body tracking system). Furthermore, two HTC-VIVE base stations were placed at a considerable height, approximately two meters off the ground (using tripods), and diagonally positioned at opposite corners of the doctor’s office, to create a minimum play area of 2 m × 1.5 m (6 ft 6 in × 5 ft).
Finally, a second headset with incorporated ET technology (FOVE VR-HMD) was used to detect eye movement while the patients were immersed in the VR environment before and after the intervention. The FOVE VR-HMD uses 120 Hz infrared ET sensors, with a resolution of 2560 × 1440 pixels and a spatial accuracy of less than one degree.