Content-Aware Selection via Gesture-Driven Boundary Adjustment
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Solution Overview
Problem
Conventional text selection on touch-sensitive screens, especially on small mobile devices, is inefficient due to the need for precise finger movements, frequent zooming, and occlusion of text, making it slow and inconvenient for selecting large portions of content.
Innovation Solution
A computerized system that uses a processor to generate segmented graphical content based on temporal or contextual proximity, allowing users to select content using swipe gestures that adjust the selection boundaries without occluding the text, enabling one-handed operation and easy selection of text or non-textual content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional tap and hold text selection technique is used, then text selection can be made, but the selection process is slow and inconvenient
Solution Approach 1:
The patent replaces the mechanical finger-dragging system with a magnetic field-based selection system. The magnetic field automatically attracts and selects text or content based on the user's tap location, eliminating the need for manual dragging movements. This substitution of mechanical interaction with magnetic field interaction dramatically speeds up the selection process while maintaining ease of operation.
Solution Approach 2:
The patent introduces a magnetic field as an intermediary between the user's tap gesture and the text selection process. Instead of direct mechanical contact between finger and text, the magnetic field serves as a mediator that automatically performs the selection based on proximity and attraction principles, making the process both faster and more convenient.
2Measurement precision
If user carefully adjusts selection endpoints with one hand, then precise selection can be made, but the operation becomes inconvenient
Solution Approach 1:
The patent replaces the manual mechanical adjustment of selection endpoints with an automatic magnetic field-based endpoint determination system. The magnetic field naturally extends to the boundaries of content elements, automatically establishing precise selection endpoints without requiring manual adjustment. This maintains high precision while enabling comfortable one-handed operation.
Solution Approach 2:
The magnetic field selection system performs self-service by automatically determining selection boundaries and endpoints based on the magnetic attraction principles. The system self-adjusts the selection range without requiring user intervention to manually set endpoints, thereby achieving both precision and ease of one-handed operation.
3Measurement precision
If user zooms in to select target word, then selection accuracy improves, but the user cannot see all text and must zoom out to select additional portions
Solution Approach 1:
The patent replaces the manual zooming mechanism with a magnetic field-based selection mechanism that works effectively at any zoom level. The magnetic field automatically identifies and selects the target word or content element based on proximity and attraction, maintaining high accuracy without requiring the user to zoom in. This preserves the full text context visible on screen while achieving precise selection.
Data Source
AI summary
Systems and methods detect simple user gestures to enable selection of portions of segmented content, such as text, displayed on a display. Gestures may include finger (such as thumb) flicks or swipes as well as flicks of the handheld device itself. The used finger does not occlude the selected text, allowing users to easily see what the selection is at any time during the content selection process. In addition, the swipe or flick gestures can be performed by a non-dominant finger such as a thumb, allowing users to hold the device and make the selection using only one hand. After making the initial selection of a target portion of the content, to extend the selection, for example to the right, the user simply swipes or flicks the finger over the touchscreen to the right. The user could also flick the entire device in a move gesture with one hand.