WorldViz VR, a leader in virtual reality (VR) solutions for academic research and enterprise, has officially announced the launch of latest enhancements for its advanced VR software package.
Arriving under the name of Vizard 8.0 and SightLab VR Pro 2.0, these enhancements are basically designed to provide a powerful, all-in-one platform which can make it possible for users to design, manage, and analyze complex VR experiments with relative ease and efficiency.
More on the same would reveal how Vizard 8.0 is actually a VR software development platform, whereas on the other hand, SightLab VR Pro 2.0 is designed to play the role of a VR experiment generator.
Talk about what these cutting-edge solutions bring on a slightly deeper level, we begin from the promise of enhanced experiment design and usability. This includes notable improvements to the user interface that will make experiment design more accessible moving forward. Furthermore, users of WorldViz platform can now build intricate setups with multiple conditions and customized experiment configurations through a streamlined drag-and-drop system. Supporting advanced flow control options like randomization and blocks of trials, the platform in question now also give users the option to customize experiments further with extended Python code. This it will particularly enable using its integration with Python 3.13.
Next up, there would be unlimited multi-user support. You see, leveraging an upgraded software package, the WorldViz platform should now be able to support unlimited participants within a single experiment, connected locally or remotely. Such a setup, like you can guess, is ideal for creating collaborative environments like virtual classrooms or team-based training simulations. Complementing that is the availability of full-session replays, heatmap visualizations, and customizable data collection, all coming together to allow deeper user interaction analysis.
Then, we have a facility available for AI-powered interaction. Here, the idea is basically to integrate customizable AI agents that will be well-equipped for real-time interaction, thanks to large language models like OpenAI and Anthropic. Once integrated, these agents can be modified in appearance and behavior. Designed to interact with users via speech or text, the technology can be relied upon by researchers for simulating human interaction, or they can also be used as virtual assistants in training environments so to enhance the realism and utility of VR studies.
Moving on to the ability to facilitate advanced data collection and replay, it will deploy upgraded algorithms for eye-tracking and gaze analysis to deliver enhanced tools for collecting precise data. From a practical standpoint, the capability in play will guide researchers in the context of tracking individual eye movements, analyzing fixation patterns, and collecting object-specific data during experiments.
Hold on, we still have a few bits left to unpack, considering we still haven’t touched on the expanded content and experiment templates, designed to significantly speed up the setup of VR experiments. At launch, the stated assortment of templates is going to include tasks for cognitive research, eye-tracker analysis, and augmented reality applications, each one also capable of giving powerful starting points for novice and advanced users.
Another detail we haven’t touched upon would be the support for latest VR and AR devices. This support comes from how the platform’s software package is fully compatible with the latest VR and AR hardware, including OpenXR devices. You can even access passthrough support and enhanced scene-building tools to create dynamic mixed reality environments with ease.
Finally, our last piece of highlight is orchestrated by an integrated solution geared towards those who are looking to harness the power of virtual reality in research. To put it simply, no matter you’re developing complex simulations, analyzing user behavior, or creating collaborative virtual environments, this package offers unmatched flexibility, usability, and data precision.
Founded in 2002, WorldViz VR’s rise up the ranks stems from being a global leader in virtual reality solutions for research, training, and enterprise. The company’s excellence can also be understood once you take into account that it has, thus far, served the likes of Stanford University, Yale University, Princeton University, National Institutes of Health NIH, NASA, Boeing, and Siemens etc.
