![]() ![]() The context when correlated with language like, “How do I get there?” now forms a complete query. It could be in reference to a direction of travel, or an inquiry about an object. This is a physical context that many technologies can provide, but the gesture in itself doesn’t have intrinsic meaning and is not sufficient for defining the problem that needs solving. But once this system is designed, you have the generalized foundation for creating augmented reality experiences for any application, be it industry, retail, or general productivity improvement.Īn example of how AI enables cross-domain mapping would be an individual pointing at an object in the distance. Until standards (for interoperability, for example) and best practices are in place governing their implementation, effective usage and compatibility relies on the skilled design of networked components. Where it gets tricky is ensuring the relationships between components are usable: physical and virtual coordinate systems must align, digital twins must be up to date with the physical world, human descriptions must be mappable to trainable behaviors, etc.īoth software and hardware related to emerging technologies, including AI, robotics, and the Internet of Things, are evolving rapidly. Generating a domain context is a relatively straightforward task. The human domain also encompasses how machine-generated data is communicated. This is the jumping-off point for AI, where natural language processing (NLP) and generative pre-trained transformer (GPT) models play a key role in converting the human context into machine language. ![]() Any kind of location metadata can be the basis for an experience, for example, rainfall data or the location of stock in a store.įinally, the human domain is the body of human requirements, expressed in terms a machine can understand. This is a broad definition, but that’s the idea: AR experiences don’t need complex 3D assets or models to provide value. The virtual domain contains any data that has a useful correlation with a location in the real world. The context for a specific location may include world coordinates (that is, a geographical position), environment scan data, object positions, weather, or images of the surroundings – whatever real-world parameters are relevant to support the generation of a solution to a specific need. The physical domain is the world we live in. ![]()
0 Comments
Leave a Reply. |