Digital Assistant Task Component Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies face challenges in enhancing the flexibility of interaction between users and digital assistants, which limits the effectiveness and efficiency of user assistance.
Innovation Solution
The method involves presenting a first message in a conversation window between a user and a digital assistant, which includes elements related to task components such as plug-ins or scenarios, allowing users to select and utilize these components to perform specific functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional digital assistant interaction methods are used, then the system is simple to operate, but the interaction flexibility is limited
Solution Approach 1:
The patent segments the digital assistant's capabilities into modular task components (plug-ins and scenarios). Each task component represents a discrete functional unit that can be independently selected and activated. This segmentation allows the system to present only relevant components to the user based on the current conversation context, thereby improving interaction flexibility without requiring the user to understand the entire system architecture.
Solution Approach 2:
The patent introduces a new dimension of interaction by adding task component selection controls within the conversation window. This transforms the traditional linear text-based interaction into a multi-dimensional interface that combines text conversation with visual task component selection. Users can now interact both through natural language and by selecting predefined task components, significantly enhancing interaction flexibility while maintaining system manageability.
2Productivity
If task components are added to enhance functionality, then the assistance efficiency improves, but the interface complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring task components (plug-ins and scenarios) with their functions and interaction controls before user interaction. These task components are prepared in advance and stored in the system, allowing the digital assistant to quickly retrieve and present relevant components during conversation without requiring real-time complex processing. This pre-preparation enhances assistance efficiency while keeping the interface presentation simple and manageable.
Solution Approach 2:
The patent introduces task component selection controls as an intermediary element between the user and the digital assistant's core functionality. These controls act as a mediator that simplifies the interaction by providing user-friendly interfaces to access complex task components. The selection controls translate user intentions into appropriate task component activations, thereby improving assistance efficiency without exposing users to the underlying system complexity.
3Measurement precision
If the digital assistant provides more task options, then the user intention understanding improves, but the information processing load increases
Solution Approach 1:
The patent applies local quality by making the task component selection controls context-dependent and location-specific within the conversation window. Rather than presenting all possible task components globally, the system selectively displays relevant task components based on the current conversation context and user input. This localized presentation approach improves user intention understanding by showing only pertinent options, thereby reducing the overall information processing load.
Solution Approach 2:
The patent implements partial action by presenting a subset of task components that are most relevant to the current conversation rather than all available components. The digital assistant selectively activates and displays task components based on the analyzed user intention and conversation context. This partial presentation strategy enhances precision in understanding user intentions while avoiding the processing burden of managing and displaying the complete set of all possible task components.
Data Source
AI summary
A method, an apparatus, a device and a storage medium are provided. In the method, in response to a predetermined operation associated with a conversation window of a user and a digital assistant, a first message from the digital assistant is presented in the conversation window. In the method, in the first message, an element related to one or more task components is presented. Each task component is configured to perform a corresponding function. The task component includes at least one of a plug-in or a scenario.