Digital Assistant Plug-in Selection via Contextual Topic Mapping
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Solution Overview
Problem
Existing digital assistant applications lack flexibility in plug-in selection and interaction, as users cannot choose plug-ins based on specific scenarios or topics, limiting their functionality and user experience.
Innovation Solution
The method and apparatus provide interactive windows and plug-in selection controls that allow users to select and view plug-ins based on current topics, enabling scenario-based and topic-specific plug-in usage, with default plug-ins associated with pages and topics, and allowing users to change plug-ins as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital assistant provides fixed plug-in functionality, then system stability is maintained, but adaptability to different scenarios and topics deteriorates
Solution Approach 1:
The digital assistant's plug-in system is segmented into independently selectable modules. Each plug-in represents a discrete functional unit that can be individually enabled or disabled based on the current topic or user needs, allowing the system to adapt its functionality without requiring complete reconfiguration.
Solution Approach 2:
The plug-in configuration is made dynamic rather than static. The system automatically adjusts which plug-ins are active based on the detected topic or context, enabling the digital assistant to adapt its capabilities in real-time without manual intervention for each scenario.
2Adaptability or versatility
If digital assistant allows free plug-in selection, then user flexibility improves, but operation complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring topic-plug-in mappings and maintaining a curated catalog of plug-ins organized by relevance. When a user invokes the digital assistant for a specific topic, the system has already prepared the appropriate plug-in selections, reducing the cognitive load on the user.
Solution Approach 2:
The digital assistant automatically manages plug-in selection based on the detected topic or context. Instead of requiring users to manually configure each plug-in, the system self-adjusts its functionality by selecting appropriate plug-ins from its catalog, making the process transparent and effortless for the user.
3Reliability
If digital assistant uses topic-specific plug-ins, then interaction relevance improves, but system complexity increases
Solution Approach 1:
The digital assistant employs a universal plug-in catalog that can serve multiple topics through different configurations. A single plug-in module can be reused across different topics by adjusting its parameters or activation conditions, reducing the need for topic-specific duplicate implementations while maintaining high relevance.
Data Source
AI summary
According to embodiments of the present disclosure, methods for information interaction and device and storage medium are provided. In the method for information interaction, a first interactive window for a first user to interact with a digital assistant is displayed in response to an operation of invoking the digital assistant in a first page, and one or more plug-ins selected by default are displayed in the first interactive window, wherein the one or more plug-ins selected by default have a first association relationship with the first page, and each plug-in is configured to perform a corresponding function. Thus, the plug-ins may be selected for a user by default in the interactive window. In this way, diversified operations may be completed efficiently by means of the plug-ins during the user interactions with the digital assistant.