Systems and methods for cooperatively-overlapped and artificial intelligence managed interfaces
AssigneeThe Travelers Indemnity Company
InventorsDouglas Calegari, Stephen Ziegelmayer
Life of this patent
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Abstract
Systems, apparatus, methods, and articles of manufacture for cooperatively-overlapped and Artificial Intelligence (AI)-managed interfaces. For example, multiple cooperatively and/or partially overlapped interfaces may be provided (e.g., via an electronic and/or touch-screen device), with such interfaces being dynamically managed by various AI components, such as natural language processing, machine learning techniques, and/or neural network data processing.
Claims6
An intelligent and layered user interface system for providing artificial intelligence feedback to guide an interface experience of a user, comprising:
- a primary interface generated by a primary interface engine, the primary interface comprising a plurality of primary interface elements;
- a secondary interface generated by a secondary interface engine, the secondary interface comprising at least one secondary interface element;
- an electronic processing device;
- and
- at least one non-transitory data storage device in communication with the electronic processing device, the at least one non-transitory data storage device storing (i) structured data, (ii) unstructured data, (iii) at least one natural language model, (iv) at least one neural network model, (v) instructions defining a natural language engine, (vi) instructions defining a neural network engine, and (vii) instructions defining a response engine, wherein execution of the (a) instructions defining the natural language engine, (b) instructions defining the neural network engine, and (c) instructions defining the response engine, by the electronic processing device, result in:
- acquiring, from at least one of the plurality of primary interface elements of the primary interface, at least one user input;
- analyzing, by the natural language engine and utilizing the at least one natural language model, the at least one user input;
- defining, by the natural language engine and based on the analyzing of the at least one user input, a predicted intent of the user;
- analyzing, by the neural network engine and utilizing the at least one neural network model, the predicted intent of the user;
- defining, by the neural network engine and based on the analyzing of the predicted intent of the user, a query for at least one of the structured data and the unstructured data;
- querying, utilizing the query for the at least one of the structured data and the unstructured data, the at least one of the structured data and the unstructured data;
- receiving, in response to the querying, a subset of the at least one of the structured data and the unstructured data;
- generating, by the response engine and utilizing the predicted intent of the user and the subset of the at least one of the structured data and the unstructured data, a natural language response comprising a sentence that includes data from the subset of the at least one of the structured data and the unstructured data;
- and
- providing, via the at least one secondary interface element of the secondary interface, the natural language response.
Dependencies are inferred from the claim text.