Application Interface Split-Screen Recommendations from User Scenario Behavior
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Solution Overview
Problem
Users of electronic devices with larger display screens face challenges in effectively utilizing the split-screen function, leading to a suboptimal user experience due to uncertainty about when and how to employ this feature.
Innovation Solution
An application interface display method that intelligently determines the user's need for split-screen functionality based on scenario behavior, recommending and implementing split-screen or floating-window displays for enhanced task parallelism, adapting to the capabilities of individual applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If split-screen function is provided on electronic device with larger display screen, then display area utilization is improved, but user understanding and application of the function deteriorates
Solution Approach 1:
The system performs preliminary analysis of user operations to predict when split-screen functionality is needed. By monitoring user behavior patterns and operation sequences, the system proactively determines optimal split-screen configurations before the user explicitly requests them, thereby improving display area utilization while reducing the cognitive load on users.
Solution Approach 2:
The system enables automatic split-screen configuration based on detected user needs. Instead of requiring users to manually configure split-screen modes, the system autonomously analyzes operational context, selects appropriate applications for split-screen display, and applies the configuration automatically, thus improving both display utilization and ease of operation.
2Productivity
If split-screen function is actively recommended based on scenario behavior, then task parallel processing efficiency is improved, but system complexity increases
Solution Approach 1:
The system continuously monitors user operations and application usage patterns to generate feedback about optimal split-screen configurations. This feedback loop enables the system to learn from user behavior, refine its recommendations, and improve task parallel processing efficiency over time while keeping the underlying complexity managed through iterative optimization.
Solution Approach 2:
The system dynamically adjusts split-screen parameters such as display orientation, application selection, and layout configuration based on real-time analysis of user scenario behavior. By changing these parameters adaptively rather than requiring complex manual configuration, the system improves productivity while managing complexity through automated parameter adjustment.
3Ease of operation
If intelligent recommendation of recommended application is implemented, then user experience is improved, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of user operations and application relationships in advance, building a knowledge base of optimal application combinations and split-screen configurations. This pre-computed information enables rapid recommendations when users interact with the system, improving user experience through intelligent suggestions while minimizing processing time by avoiding real-time complex calculations.
Solution Approach 2:
The system applies partial analysis focusing on the most relevant user operations and application pairs rather than analyzing all possible combinations. By concentrating computational resources on the most impactful scenarios, the system achieves good enough recommendations quickly, improving user experience without excessive processing time consumption.
Data Source
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Figure 2
Figure 3(a)
AI summary
This application provides an application interface display method and an electronic device, and relates to the field of communication technologies. By using the solution of this application, according to an operation (for example, selection or copy) performed by the user on an object (for example, text or a picture) displayed on a current interface, a related application may be recommended, based on the target object, to the user for selection. When selecting a recommended application, the user may trigger simultaneous display (for example, split-screen display or floating-window display) of the current interface and an interface of the recommended application. In this application, a split-screen requirement may be determined according to a scenario behavior of the user, and then a recommended application and an intelligent split-screen service may be actively provided in a targeted manner, to achieve more efficient task parallel experience, thereby improving user experience.