Comment la RV peut-elle être intégrée à d’autres technologies émergentes, telles que l’IA et la RA, pour l’éducation?

The condition for a successful integration of AI in VR environments is to interface at the event level. For instance, capturing elementary interaction events serves as a first step to user action recognition that can be interpreted in terms of user intention or task completion. Conversely many complex behaviors can be produced by AI planning systems, whose end actions have to be translated into elementary physical events in the virtual world.

In my opinion, AI & VR, and blockchain are complementary technologies and ultimately enablers of each other. I am excited beyond words about what can combination of AI and VR bring to the table. Actually, to the point that I believe that this might be close to a "killer app" - an app that will bring VR to the masses. Users would be able to create their own words to truly form their projections into reality (a great example is the movie Inception where a young architect was creating the world. This would be truly a god-like real-time feeling. We can see the first research and use cases being done by companies like Nvidia or some exciting demo use cases from Roblox. In my opinion, this could be and most probably will be revolutionary.

Combining Artificial Intelligence (AI) with Virtual Reality (VR) in education can revolutionize the learning experience. AI can personalize educational content in VR environments, tailoring lessons to individual student needs. This dynamic adaptation enhances engagement and ensures that each learner progresses at their own pace. Additionally, AI can create intelligent virtual tutors within VR simulations, offering real-time guidance and feedback.

Focusing solely on enhancing learning outcomes is too limited. As real-time collaboration becomes increasingly essential, there is an opportunity to employ a concept coined by Rob Watts, AI Architect from Intel: "AR when you are there and VR when you aren't." This approach allows solution developers to harness the strengths of both technologies. Utilizing AI to analyze users' environments, we can provide optimal experiences. For example, if five people share a room and two are remote, AR should generate avatars only for remote colleagues while AI gathers room information to create a simulation, allowing remote colleagues to virtually join through VR.

You need to be very careful when you talk about integrating these 3 technologies, as it could get confusing. Some integrations, such as VR and AI make perfect sense, others like AR and VR are a little harder to grasp. It makes me think of a question I hear a lot, "Which is better AR or VR?", a little like saying which is better, a boat or a car?

The issue of security invariably prompts inquiries, particularly in the context of privacy and the handling of Personal Identifiable Information (PII). Nevertheless, it is important to emphasize that the acquisition and retention of personal information need not be intertwined with the operational metrics of the application. Adhering to best practices entails the encryption of PII and its association with an encrypted numerical identifier. This approach effectively segregates user identity from the accumulated performance data.

We have already integrated an AI based Virtual assistant for our Eco system. Currently we are using an AI assistant in our skill training simulator which is based on an custom LLM build on a comprehensive knowledge of skill training. The results are fascinating as thr AI model helps the trainee to comprehensively understand the training using personalised approach. To know more in detail, kindly drop me a message.