Virtual reality (VR) implementations greatly matured over the past few years and it's been able to transform the way people learn. Enterprises are now forced to adopt VR to provide the best training for their employees. To take full advantage of VR training, it needs to be connected to the rest of the organization and included in the employee’s daily learning experience. But taking VR from proof of concept to scale comes with challenges. Previously, enterprises only needed to focus on exploring the viability of VR. In order to deploy VR training at scale, they need to demonstrate its effect on the bottom line. You need a comprehensive method for tracking and measuring success within VR. The outcomes should be mapped against processes, objectives and compliance requirements. Then tied into existing legacy learning management systems. (LMS) This presentation will walk through the three stages of scaling VR training: implementation, measurement and distribution. The successful deployment of VR training will depend on support from stakeholders and solving real business challenges. This presentation will also take an in-depth look at our case study with a medium-sized power utility company in the US where we increased knowledge retention by 59% and compliance by 40%.
You’ve been told it works, you’ve seen it work, and maybe you’ve even made it work—but why does it work? Even enterprise developers and pilot champions do not always know the robust research that lives in the bones of their wonderful products, and to no fault of their own. The XR industry has somewhat overused valuable terms and frameworks (presence, immersion, transfer, embodiment, recall, DICE, etc.) for the worthy sake of speed of communication to the hoi polloi, but at the expense of breaking down the mechanics that would create a dialogue to push our products and pilots to the bleeding edge of efficacy. This I promise: the words you use will change your outcomes. To that end, in this talk I’ll cover the aforementioned broad vocabulary, add some depth to each item with research and stories (near transfer, far transfer, embodiment congruency, contextual learning, Zone of Proximal Confusion, etc.), and end with a few practical examples of how these terms will very practically impact your simulation design and execution.
As we embark on our digital transformation, the digital twin has become a more central focus in our strategy. Enterprises with distributed facilities, regardless of how many or few, are challenged to digitalize because our workflows are spread across too many unintegrated platforms. Allow me to share our vision, our journey, the wins, and the pitfalls as we forge ahead into the METALverse with Beamo.
Trainers, L&D professionals, Architects, Product Developers and more can all benefit from immersive workflows with HP VR Solutions. Join Matt Gaiser, HP’s North America Head of VR Business Development to learn how to integrate VR into your enterprise
The rise of virtual care services is an emerging trend to provide medical services without the need of physical presence. However, there are barriers related to the physician’s ability to measure vital signs, emotional and physical conditions, which prevents virtual care to deliver the same level of experience, as is the case with face-to-face care. We have come up with innovative solutions based on set of our technologies, related to Vital signs measurements, EmoGraphy stress management, 3D depth sensing, etc., to enable AR/VR Enhanced Virtual Care. The proposed solutions try to improve upon existing virtual care by combining remote physiological measurement with 3D computer vision models of human pose and new forms of rendering 3D health information in an immersive and interactive manner, allowing spatially aligned rendering of vital signs data with captured images. The proposed solution, can be extended to remotely monitor multiple subjects, which is useful for providing elderly care in crowded places.
Technologies such as AR and VR can provide great benefits in the world of biopharma to improve the efficiency and collaboration of scientists working in lab and manufacturing environments. This session will describe current and future use cases of the technology, in addition to challenges that were overcame to enable its use. The timeline from initiating a pilot program, obtaining senior leadership buy-in, overcoming logistical challenges during COVID-19, and expanded use throughout multiple company sites will discussed.