UI Closing Button Emphasis via Machine Learning Detection
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Solution Overview
Problem
Modern user interfaces, whether on personal computers or mobile devices, often become overwhelmed with advertisements, leading to a high probability of accidental clicks on ads rather than intended content, wasting users' time and energy.
Innovation Solution
A processing system and method that automatically detects and emphasizes closing options by capturing screens, identifying button objects, and associating them with characteristic objects, then performing an emphasis process such as zooming, coloring, or flashing to guide users in closing unnecessary advertisements or windows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If advertisements are displayed on the user interface, then commercial marketing effectiveness is improved, but the probability of accidental clicks increases and user time is wasted
Solution Approach 1:
The system performs preliminary identification and emphasis processing on closing options before user interaction occurs. By pre-highlighting the closing button through visual emphasis (color changes, size enlargement, or animation), the system prepares the user interface in advance to guide user attention to the correct interaction target, thereby preventing accidental clicks on advertisements.
Solution Approach 2:
The system applies color changes or visual emphasis to the closing option to make it stand out from the advertisement content. This visual differentiation helps users quickly identify the closing button among various interface elements, reducing the likelihood of accidental clicks on ads and minimizing time waste from incorrect interactions.
2Area of stationary object
If the screen is filled with advertisements, then advertising coverage is improved, but closing options become harder to locate
Solution Approach 1:
The system uses color changes, size enlargement, or animation effects to emphasize the closing option, making it visually distinct from the advertisement content. This allows the closing button to be easily detected even when advertisements occupy most of the screen area, solving the problem of reduced detectability due to high ad coverage.
Solution Approach 2:
The system performs preliminary detection and emphasis processing on the closing option before user interaction. By automatically identifying and highlighting the closing button in advance, the system ensures that users can quickly locate it regardless of how much screen space is occupied by advertisements.
3Ease of operation
If emphasis process is applied to button object, then user guidance is improved, but device complexity increases
Solution Approach 1:
The system employs machine learning models that automatically learn and identify closing options from the user interface without requiring manual configuration or complex programming. The model autonomously performs detection, recognition, and emphasis processing, reducing the need for complex device architecture while improving ease of operation through intelligent automation.
Solution Approach 2:
The system replaces traditional mechanical or rule-based interface design with an intelligent machine learning approach. Instead of requiring complex programming to handle various ad layouts and closing button positions, the system uses trained models to automatically adapt and identify closing options, simplifying the overall device complexity while enhancing user guidance.
Data Source
AI summary
A processing system and a processing method for a user interface are provided. The processing method includes a learning phase and an application phase. After a specific model is established in the learning phase, the user interface with specific meanings such as closing and rejection can be automatically found in the application phase for performing an emphasis process.