Context-Specific Applier Interface for Voice Interaction

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Solution Overview

Problem

Conventional computing systems provide time-consuming and inefficient user interfaces for applying products and services, requiring manual input through multiple forms, which hampers efficient interaction between users and remote computing systems.

Innovation Solution

A computer-implemented method utilizing natural language processing (NLP) and artificial intelligence (AI) to receive and process voice interaction data, automatically determining the context category and transitioning to a context-specific applier interface for seamless product/service application, eliminating the need for manual input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional wizard applications with manual forms are used, then users can apply for products and services, but the process becomes time-consuming and inefficient

Engineering Contradiction:

Improveapplication processing speedVSAvoidtime required to fill out forms

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual form-filling mechanics with voice-based natural language processing. Users speak their information instead of typing it, and the NLP system automatically extracts and processes the data, eliminating the mechanical interaction of manually completing forms while maintaining accurate data capture.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing users to independently provide application information through voice commands without requiring manual intervention from agents or complex form navigation. The NLP engine autonomously processes the spoken information and initiates applications, making the entire process self-directed by the user.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If multiple separate forms are required for different products/services, then comprehensive application coverage is achieved, but user complexity and effort increase

Engineering Contradiction:

Improveproduct/service coverageVSAvoidnumber of forms to complete

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal voice-based interface that can handle multiple product and service applications through a single interaction session. The NLP system is designed to recognize and process requests for various products/services without requiring users to switch between different forms, making one interface serve multiple functions.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges multiple separate application forms into a single integrated voice-based process. Instead of requiring users to complete distinct forms for different products, the system combines all application requests into one continuous voice interaction, automatically routing and processing each request appropriately.

Inventive Principle:

Principle #5Merging (Combining)

3Productivity

If automated voice processing is implemented, then interaction efficiency improves, but accuracy in determining user intent may decrease

Engineering Contradiction:

Improveinteraction efficiencyVSAvoidcontext category determination accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent incorporates feedback mechanisms where the system processes voice input, determines context categories, and can seek clarification or confirmation when intent is ambiguous. This iterative feedback loop allows the NLP system to refine its understanding of user intent, improving accuracy while maintaining efficient automated processing.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary processing of voice data to identify key indicators and context cues before making final category determinations. By analyzing surrounding terminology and weighting relevant keywords in advance, the system prepares accurate intent classification before committing to a specific context category, reducing errors in automated processing.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11776537B1Natural language processing system for context-specific applier interface

Publication Date: 2023.10.03 BLUE LAKES TECH INC

AI summary

A computer-implemented method is provided to optimize natural language processing of voice interaction data in product/service categorization and product/service application. The computer-implemented method receives, from a voice interaction device through a context discovery interface, user voice data corresponding to a user. Furthermore, the computer-implemented method performs, with an NLP engine, natural language processing of the user voice data to determine a context category. Additionally, the computer-implemented method selects, with an AI engine, one of a plurality of context-specific applier interfaces based on the context category. The computer-implemented method automatically transitions, with the AI engine, to said one of the plurality of context-specific applier interfaces. Finally, the computer-implemented method interacts, via the AI engine, with the user via a voice interaction to initiate the product/service application.