Split-Screen Display Suggestions from Application Usage Patterns
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Solution Overview
Problem
Existing split-screen display methods for electronic devices require numerous user operations, leading to inconvenience and poor efficiency.
Innovation Solution
The electronic device automatically displays an identifier of a second application for split-screen display based on user behavior and device conditions, reducing the need for manual user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional split-screen display method is used, then split-screen functionality is achieved, but user operations are numerous and efficiency is poor
Solution Approach 1:
The system automatically monitors application switching behavior and identifies candidate applications for split-screen display without requiring explicit user initiation. The electronic device serves itself by autonomously determining which applications to suggest based on predefined conditions (switching frequency, time intervals, application types), thereby reducing the operational burden on users while maintaining split-screen functionality.
Solution Approach 2:
The system performs preliminary analysis of application usage patterns and pre-identifies candidate applications that meet split-screen criteria before the user actually needs split-screen functionality. By continuously monitoring and pre-processing application switching data, the system prepares potential split-screen candidates in advance, so when the user needs split-screen display, the suitable applications are already identified and ready for selection.
2Ease of operation
If automatic identification of split-screen applications is implemented, then user operations are reduced, but system complexity increases
Solution Approach 1:
The system segments the complex task of split-screen application selection into distinct functional modules: a monitoring module that tracks application switching, a judgment module that evaluates whether switching meets predefined conditions, and a recommendation module that identifies candidate applications. This modular segmentation reduces overall system complexity by making each component's function clear and manageable while achieving automatic identification.
Solution Approach 2:
The system implements feedback mechanisms where application switching behavior is continuously monitored and fed back to the judgment module, which then updates the candidate application list accordingly. This closed-loop feedback approach allows the system to adaptively respond to user behavior patterns without requiring complex centralized control logic, thereby managing system complexity while maintaining intelligent automatic identification.
Data Source
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AI summary
Embodiments of this application relate to the field of electronic devices, and disclose a display method and an electronic device, to reduce operations performed when a user uses the electronic device to perform split-screen display, and improve split-screen display efficiency of the electronic device. A specific solution is as follows: An electronic device displays a first interface on a display, where the first interface is an interface of a first application in the electronic device; when a second application in the electronic device meets a preset condition, the electronic device displays a first control on the first interface, where the first control includes an identifier of the first application and an identifier of the second application; the electronic device receives a first operation performed by a user on the first control; and in response to the first operation, the electronic device displays a second interface on the display, where the second interface includes the interface of the first application and an interface of the second application.