Object-Annotated Runtime Dialogue Generation for Free-Form Conversational GUIs
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Solution Overview
Problem
Conversational graphical user interfaces (GUIs) are traditionally expensive and error-prone, requiring a lengthy development process and are difficult to maintain due to the need for a separate layer to be built and updated for each user action, leading to inefficiencies in product functionality changes.
Innovation Solution
A central implementation approach where dialogue flows are automatically generated in real-time through an object-entity model, using an identifier mapping system and linguistic AI to match user intent with object annotations, allowing dynamic dialogue flows to be created on the fly based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a separate conversational layer is built for each user action, then the conversational GUI can handle diverse user interactions, but the development cost and complexity increase significantly
Solution Approach 1:
The patent implements a universal conversational layer that can handle multiple user actions through a single standardized interface. This layer uses common data structures and communication protocols to interact with different product functionalities, eliminating the need to build separate conversational interfaces for each action while maintaining full versatility.
Solution Approach 2:
The patent introduces an intermediary conversational layer that sits between the user interface and the product logic. This mediator translates diverse user conversations into standardized product commands, decoupling the conversational complexity from the product implementation and reducing overall system complexity.
2Adaptability or versatility
If a separate conversational layer is built for each user action, then the conversational GUI can handle diverse user interactions, but the development time increases
Solution Approach 1:
The patent establishes a pre-configured conversational layer with standardized templates and data structures before product development begins. This preliminary framework can be rapidly adapted to new functionalities without requiring ground-up construction, significantly reducing development time while maintaining versatility.
Solution Approach 2:
The universal conversational layer serves multiple product functionalities simultaneously through a single implementation, reducing the total development time required compared to building separate layers for each action.
3Adaptability or versatility
If a separate conversational layer is built for each user action, then the conversational GUI can handle diverse user interactions, but the maintenance difficulty increases
Solution Approach 1:
The universal conversational layer provides a single maintenance point for all conversational functionalities. Updates, bug fixes, and improvements need to be made only once in the standardized layer rather than in multiple separate implementations, dramatically improving maintenance ease while preserving versatility.
Solution Approach 2:
The patent merges multiple separate conversational layers into a single unified implementation. This consolidation combines the maintenance efforts for diverse user interactions into one location, making the system easier to maintain while retaining the ability to handle various user actions.
4Adaptability or versatility
If product functionality changes, then the product adapts to new requirements, but the conversational layer must be rebuilt and tested
Solution Approach 1:
The intermediary conversational layer acts as a stable buffer between product functionality changes and the user interface. When product functionality changes, only the product logic needs to be updated while the conversational layer remains unchanged, maintaining high update efficiency and adaptability.
Solution Approach 2:
The universal conversational layer's standardized design allows it to accommodate product functionality changes without requiring reconstruction. Its multi-functional nature means it can handle new product capabilities through the same interface, improving update efficiency.
Data Source
AI summary
Systems and methods for automatic generation of free-form conversational interfaces are disclosed. In one embodiment, a system receives an input from a user device through a conversational graphical user interface (GUI). An intent of the user may be determined based on the received input. Based on the intent of the user, the system may identify, from a plurality of objects available to the system, one or more objects. Each of the plurality of objects has annotations corresponding to one or more elements of the object and one or more functions of the object. The one or more functions corresponding to the one or more elements are executable to perform an action upon corresponding elements. Based on the identified one or more objects and the annotations of the identified one or more objects, the system may generate a dynamic dialogue flow for the conversational GUI, where the dynamic dialogue flow is generated in real-time during a conversational GUI session.