Intelligent Assistant Cloud Virtual Data Handling
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Solution Overview
Problem
Intelligent assistants currently provide information or services only after user instructions are given and cannot comprehensively understand user needs due to limited interaction with terminal applications, resulting in suboptimal user experiences.
Innovation Solution
A method and apparatus that allow terminals to interact with applications based on user authorization, collect user data, and send it to a cloud server to generate virtual data, enabling the cloud server to provide event execution information for seamless application event handling and improved user service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the intelligent assistant only provides services after user instructions are given, then the system operation is simple and clear, but the user experience is suboptimal because the assistant cannot proactively understand and meet user needs
Solution Approach 1:
The system performs preliminary actions by collecting user data from multiple applications in advance, building user profiles and virtual data models before users actually need services. This enables the intelligent assistant to proactively understand user preferences and behaviors, allowing it to provide personalized services without waiting for explicit user instructions, thus resolving the contradiction between operational simplicity and proactive automation
2Device complexity
If the intelligent assistant cannot interact with terminal applications, then the system architecture remains simple, but the assistant cannot comprehensively understand user needs resulting in compromised user experience
Solution Approach 1:
The system introduces an intermediary mechanism (data collection module and virtual data model) that bridges the intelligent assistant and terminal applications. This intermediary layer collects and processes data from multiple applications without requiring the assistant to directly interact with each application's complex internal structures, thus maintaining relative architectural simplicity while enabling comprehensive user needs understanding through aggregated multi-source data
3Ease of operation
If the intelligent assistant passively provides information only after user requirements, then the information provision process is straightforward, but the service quality is limited and user experience is compromised
Solution Approach 1:
The system implements feedback mechanisms by continuously collecting user data from multiple applications, analyzing user behaviors and preferences, and using this feedback to dynamically build and update virtual data models. This feedback loop enables the intelligent assistant to progressively improve its understanding of user needs, thereby enhancing service quality and efficiency while maintaining a straightforward information provision interface for users
Data Source
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AI summary
Embodiments of the present invention relate to a method and an apparatus for intelligently handling an application event. The method includes: receiving an application handling authorization instruction entered by a user, where the application handling authorization instruction includes an identifier of an application program in a terminal; accessing the application program based on the identifier of the application program, and obtaining information about a to-be-handled application event from the application program; sending a notification message to a cloud server, where the notification message includes the application event information; receiving a feedback message sent by the cloud server, where the feedback message includes event execution information, of the application event information, obtained by the cloud server based on user online virtual data; and correspondingly executing the application event based on the event execution information.