An adaptive, realistic training partner (avatar) within an XR environment tailored to meet learning outcomes.
Avatars can be hyper realistic representations of the human form or a tailored fidelity depending upon the use case.
Envision AI is designed as a core architecture with open standard application interfaces that can expand and grow over time.
Envision AI’s core architecture with open standard application interfaces that can expand and grow over time will initially include:
We create a virtual representation of an individual or user in extended reality (XR) environments. XR encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR). Our XR avatars typically include visual and audio elements to create a virtual persona that mirrors the appearance, movements, and interactions of the user. These avatars are designed to enhance the sense of presence and enable social interactions within XR experiences.
Speech recognition to enable users to communicate with the avatar using natural language.
AI apps for natural language processing (NLP), computer vision for recognizing gestures or objects, and emotion recognition for responding appropriately to user emotions.
Our AI database is a collection of structured or unstructured data that is used to train and provide inputs to artificial intelligence systems. It serves as a knowledge repository that enables AI algorithms to learn, reason, and make informed decisions
These are the interactions between humans and artificial intelligence systems. Interactions can take various forms and can occur through different channels, such as voice assistants, chatbots, virtual agents, and smart devices.
User feedback to continually improve the avatar’s teaching capabilities through refining AI algorithms taking a Reinforcement Learning (RL) approach, expanding the knowledge base, and enhancing the avatar’s responses based on user input.
Virtual learning systems leverage machine learning algorithms, natural language processing, and data analytics to analyse student data, understand their learning patterns, and provide personalised recommendations and feedback. Our systems can adapt to individual student needs, preferences, and learning styles, offering tailored content, exercises, and assessments.
We develop technology platforms that combines virtual reality (VR), augmented reality (AR), and mixed reality (MR) to create immersive and interactive experiences. Our XR platforms provide a framework for developing and delivering applications, content, and experiences that blend the physical and digital worlds.
Utilising Artificial Intelligence solutions to analyse and adapt to learning preferences and fine-tune to user needs (holding and recovering large, but focused amounts of data, information and knowledge) will enable XR tools to support learning in realistic virtual environments bringing the experience to life.
With the addition of a range of XR technologies and sensors, the immersivity of the learning environment, guided by the virtual coach and mentor, can reinforce the experience improving retention and recall. Tailored appropriately, it can be used for coaching for performance improvement and achievement of marginal gains.
Artificial Intelligence is undeniably the now, no longer the future. We work to employ best practice AI programmes to achieve the best for your training. Be that data exploitation and understanding, maximising time spent training or using technology to understand the human factors of decision mapping.
Certain training requirements need the interaction, reactions and responses of humans. High fidelity digital humans can make all this possible within your immersive training. Avatar interaction can support motional learning.
Tracking the trainee’s physical reactions while they train allows for proper after training review. Better understanding of how your training is working means constant improvement for your trainees.
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