Mobile virtual reality simulation system manufacturer

ErgoVR CAVE Immersive Virtual Reality SystemBased on the theory of human information physical systems and with human machine environment synchronization technology as the core, it can be integrated with mainstream CAD software such as CATIA, UG/NX, Pro/E, SpaceClaim, as well as VR development platforms such as Unity, Unreal, WorldViz Vizard, Ansys VRXperience to produce product prototypes for quantitative human-machine interaction testing, evaluation, and analysis of VR prototype products. It solves problems in equipment design, human-machine interface design, product design, industrial design, product usability testing, and other fields such as manufacturing, industrial design, human factors engineering, environmental behavior, and architectural design.

Covering the entire standardized testing process of project and subject information management, cloud experiment design, subjective and objective multi-dimensional data collection, big data cloud storage, multi-dimensional data synchronization and cross analysis, test report generation and export, ensuring the integrity of the project and the accuracy of the test results.

Complete cloud project management covers the entire scientific research process, including cloud project management, experimental design, synchronous recording, data playback, signal processing and analysis, and test report export. Can manage and edit relevant information for each participant, such as gender, age, custom attributes, etc.

Product prototypes that support the use of VR development platforms such as Unity, Unreal, WorldViz Vizard, Ansys VRXperience, etc. can be created through real-time data communication using the ErgoVR human factors analysis engine. They can be easily imported into the experimental design system for human-computer interaction analysis, and the system automatically calculates and identifies all models.

Support traditional usability testing research methods, including subjective evaluation methods such as questionnaires, scales, and behavioral paradigms; At the same time, the laboratory can adopt quantitative research methods to collect multidimensional data during usability testing to achieve objective quantitative evaluation, which compensates for the lack of real-time, subjective, and easily influenced by social environment factors in traditional testing and evaluation methods.

Real time collection and comprehensive analysis of multimodal data quantification responses between users and virtual scenes, including spatiotemporal trajectory data, eye tracking data, physiological data, EEG data, brain imaging, biomechanics, environment, motion capture data, behavior encoding, and interaction data.

Support the export of all raw data, processed data, and visual analysis reports.

Virtual reality presentation technology achieves seamless stitching and fusion of images, presenting an immersive 3D experience. The entire laboratory space is an experimental site for walking virtual reality systems, where participants can freely walk without any restrictions, simulate real-world behavior, and collect more realistic data.

Support multiple people to collaborate in completing human-computer interaction tasks in the same virtual reality scene, and perform quantitative evaluation of local or cloud based human-machine environment data synchronization. The interaction actions of testers are presented in detail in the same virtual world, greatly enhancing real-time interaction.

The ErgoLAB human-machine environment synchronization cloud platform can synchronously collect and comprehensively analyze multidimensional data from humans, machines, and environments, including eye tracking, physiological measurements, biomechanics, electroencephalography, brain imaging, behavior, human-computer interaction, action posture, facial expressions, subjective evaluation, spatiotemporal behavior, simulators, physical environments, etc., providing complete data indicators for scientific research and applications. The platform can complete a complete experimental and evaluation process, including project management - experimental design - synchronous acquisition - signal processing - data analysis - artificial intelligence application - visual reporting, supporting group testing based on cloud architecture technology and big data cloud management.