Unified Digital Assistant Routing for Specialized Tasks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face challenges in efficiently selecting and utilizing multiple digital assistants within an organization due to the time-consuming process of manually identifying the appropriate assistant for their needs, leading to reduced convenience and increased resource inefficiency.
Innovation Solution
A system management platform that integrates a first digital assistant with multiple second digital assistants, using machine learning models to automatically determine the target digital assistant based on user input, process the information, and present the response through a unified interaction interface, while ensuring data security and compliance with user permissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually identify and select the appropriate digital assistant for their needs, then they can ensure accurate task execution, but the process becomes time-consuming and reduces convenience
Solution Approach 1:
The system enables self-service by automatically determining the target digital assistant based on user input without requiring manual selection. The first digital assistant analyzes the input information and autonomously identifies the appropriate second digital assistant, eliminating the need for users to manually search and select from multiple assistants.
Solution Approach 2:
The first digital assistant serves as an intermediary between the user and the multiple second digital assistants. It receives user input, determines the appropriate target assistant, and routes the request accordingly, simplifying the interaction model from one-to-many to one-to-one through a mediating component.
2Ease of operation
If the system integrates multiple digital assistants under a unified interface, then user convenience is enhanced, but the system complexity increases
Solution Approach 1:
The system merges multiple second digital assistants under a unified first digital assistant interface. Users interact with a single unified entry point rather than managing multiple separate assistant interfaces, consolidating complexity behind the scenes while maintaining simplicity at the user level.
Solution Approach 2:
The system segments the functionality of multiple specialized digital assistants while maintaining a unified user interface. Each second digital assistant retains its specialized capabilities for specific task types, but the first digital assistant provides a consolidated interface that manages routing to appropriate segments based on input analysis.
3Measurement precision
If the system automatically determines the target digital assistant using machine learning, then selection accuracy improves, but computational resources increase
Solution Approach 1:
The system applies partial action by using machine learning models only when necessary for determining the target digital assistant, rather than continuously processing all inputs through complex algorithms. The first digital assistant uses the ML model selectively to analyze input information and identify the appropriate second digital assistant, reducing overall computational overhead while maintaining precision where needed.
Data Source
AI summary
A method, an apparatus, a device, a storage medium and a program product for interacting with a digital assistant are provided. The method includes: receiving, through a first interaction interface of a first digital assistant, first input information input by a first user; determining, based on the first input information, a target digital assistant for the first input information from a plurality of second digital assistants, different digital assistants in the plurality of second digital assistants configured to perform tasks of different types; and presenting, in the first interaction interface, target response information for the first input information, the target response information obtained based at least on processing of the first input information by the target digital assistant.