Icon Correlation Detection for Precise Touch Interface Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in accurately controlling icon movement speed and distance in electronic devices, leading to inconsistent operations and a degraded user experience due to incorrect feedback from the device.
Innovation Solution
A method that determines the correlation between icons based on factors like distance and overlapping area, allowing users to integrate or replace icons without considering movement speed, by tracking icon movements along specific paths and highlighting relevant icons for explicit user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the system determines operation type based on dragging speed threshold, then the operation can be automatically classified, but the user cannot well control movement speed resulting in incorrect operations
Solution Approach 1:
The patent changes the control parameter from dragging speed (continuous variable hard to control) to correlation degree (discrete variable easy to judge). The system calculates correlation between dragged icon and target location, and when correlation exceeds threshold, automatically triggers integration operation, eliminating the need for users to control speed precisely.
Solution Approach 2:
The patent replaces the mechanical dragging speed control mechanism with a correlation calculation mechanism. Instead of relying on physical dragging speed which is hard to control, the system uses computational correlation analysis between icon positions to determine operation intent, substituting mechanical control with intelligent recognition.
2Manufacturing precision
If the system requires precise control of dragging speed and distance, then operation accuracy can be improved, but user experience degrades due to difficulty in control
Solution Approach 1:
The system performs self-service by automatically calculating correlation and determining operation type without requiring precise user control. The electronic device itself computes the correlation between dragged icon and target location, and autonomously decides whether to integrate or replace icons based on correlation threshold, making the system self-judging rather than user-controlled.
Solution Approach 2:
The system provides visual feedback by highlighting the target location when correlation exceeds threshold, giving users immediate feedback about system recognition of their intent. This feedback mechanism confirms whether the dragged icon will be integrated or replace another icon, allowing users to verify operation intent before execution.
3Productivity
If the system uses speed-based operation determination, then automatic classification is achieved, but feedback deviates from user expectation
Solution Approach 1:
The system performs preliminary action by pre-calculating correlation between the dragged icon and all potential target locations during the dragging process. When the dragged icon approaches a target location, the system already has correlation data ready, enabling immediate and accurate operation determination without waiting for dragging completion or speed analysis.
Data Source
AI summary
A method includes: receiving a first operation of a user, where the first operation controls an icon of an electronic device to enter an editing state; receiving a second operation of the user, where the second operation controls a first icon to move along a first track; determining a correlation between the first icon and another icon during the movement of the first icon along the first track; and after the first icon is most correlated with a second icon, continuing, by the second operation, to control the first icon to move away from the second icon along a second track, and when the first icon is most correlated with the second icon again along a third track, moving the first icon to a location of the second icon and moving the second icon to another location.