Mobile UI Accessibility Pattern Detection for Larger Text Layout
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Solution Overview
Problem
Users interacting with applications on mobile devices often face accessibility issues such as difficulty reading small text or manipulating buttons, which existing default accessibility settings on mobile devices do not adequately address.
Innovation Solution
A system and method that modifies a user interface of an application in response to detecting an accessibility pattern using sensors on a mobile device, such as proximity sensors, cameras, and accelerometers, to tailor the interface to the user's needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If default accessibility settings are provided by the mobile device operating system, then general accessibility assistance is available, but application-specific accessibility needs are not addressed
Solution Approach 1:
The system segments accessibility assistance into two layers: device-level default settings and application-specific modifications. The application independently detects user actions and modifies its own interface elements (buttons, icons, text) based on detected patterns, rather than relying solely on system-wide settings.
Solution Approach 2:
The application dynamically modifies its user interface in real-time based on detected user actions. When difficulty actions are detected through sensors, the application automatically adjusts interface element properties (size, position, contrast) without requiring user configuration changes.
2Reliability
If accessibility settings are enabled on the mobile device, then some accessibility assistance is provided, but assistance is still required for specific applications
Solution Approach 1:
The application performs self-service by automatically detecting user difficulty through sensor data and modifying its own interface. The application monitors user interactions and sensor inputs, then autonomously adjusts UI elements to improve accessibility without requiring user intervention or configuration.
Solution Approach 2:
The system uses sensor feedback (accelerometer, gyroscope, proximity sensor) to detect user interaction patterns. When difficulty patterns are identified through feedback analysis, the application responds by modifying interface elements, creating a closed-loop accessibility system.
3Ease of operation
If the user interface is modified to improve accessibility, then usability for impaired users is enhanced, but the interface may become more complex
Solution Approach 1:
The application applies accessibility modifications locally to specific interface elements rather than globally transforming the entire interface. Individual buttons, icons, or text elements are adjusted based on detected user needs, maintaining overall interface simplicity while improving specific interaction points.
Data Source
AI summary
Disclosed herein are various embodiments for detecting predefined accessibility patterns for modifying a user interface of a mobile device. An embodiment operates by providing a plurality of times of an original screen of a user interface of an application for display on a mobile device. Sensor data corresponding to one or more user interactions with the mobile device is received, and a detected accessibility pattern indicating a visual impairment of the user is identified. The plurality of items are split into both a first screen and a second screen with larger font relative to the original screen, and the original screen is replaced with the first screen.