Linguistic User Interface Parsing for Semantic Intent Mapping
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Solution Overview
Problem
Current graphical user interfaces (GUIs) are limited in understanding user intent and adapting to semantic interactions, leading to mismatches between user intent and interface capabilities, which hinders efficient task completion in software applications.
Innovation Solution
A model-based linguistic user interface (MLUI) that processes linguistic user inputs by mapping them to a formal representation of actors, activities, and objects, using a declarative programming language to infer user intent and access relevant software resources, thereby facilitating task completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional graphical user interface (GUI) is used to structure and navigate software functions, then the system provides spatial organization and predefined navigation paths, but the system cannot understand user intent semantically and cannot adapt spontaneously to user goals
Solution Approach 1:
The patent introduces a linguistic user interface as an intermediary layer between the user and the traditional GUI system. This linguistic interface parses natural language inputs, maps them to formal representations, and translates them into GUI operations, thereby enabling semantic understanding of user intent without fundamentally redesigning the entire interface system.
Solution Approach 2:
The patent replaces the mechanical navigation through predefined GUI paths with a linguistic processing system that uses natural language parsing and formal representation mapping. This substitution allows the system to understand user intent semantically rather than requiring users to navigate through fixed interface structures.
2Ease of operation
If the GUI provides specific means for each function (buttons, icons, menus), then the system enables precise function activation, but the user must identify and locate specific interface elements which increases interaction difficulty
Solution Approach 1:
The linguistic user interface enables users to describe their desired actions in natural language without needing to locate or identify specific GUI elements. The system automatically interprets the linguistic input, maps it to the appropriate function, and executes it, thereby making the interface serve the user's intent directly rather than requiring the user to navigate the interface structure.
3Loss of information
If the GUI uses predefined text identifiers and labels, then the system provides structured information presentation, but mismatches between interface terminology and user expectations occur leading to user confusion
Solution Approach 1:
Instead of requiring users to adapt to predefined interface terminology, the patent inverts the approach by allowing users to express their intent in natural language and having the system interpret and map it to the appropriate internal representations and functions. This inversion eliminates terminology mismatches by starting from the user's language rather than the system's predefined labels.
4Adaptability or versatility
If the system provides comprehensive navigation options and service descriptions, then the system enables users to find desired functions, but the information architecture becomes complex and difficult to navigate
Solution Approach 1:
The linguistic user interface acts as a mediator that translates user goals expressed in natural language into system operations, bypassing the need for users to navigate complex information architectures. The system parses the linguistic input, maps it to formal representations, and directly accesses the relevant services without requiring users to traverse hierarchical navigation structures.
Data Source
AI summary
The present invention includes model-based processing of linguistic user inputs. In one embodiment, the present invention includes a computer-implemented method comprising receiving linguistic inputs, parsing the linguistic inputs, mapping the linguistic inputs to a formal representation used by a model, applying the formal representation against the model, where the model comprises said formal representation, and where the model specifies relationships between the elements of the formal representation and defines process information, and accessing software resources based on the formal representation of the user input and the relationships and process information in said model.


