Self-adaptive display layout for mobile multimedia
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Solution Overview
Problem
Users face difficulties in navigating and finding relevant multimedia information on mobile devices due to diverse information types and varying screen sizes, leading to decreased user experience.
Innovation Solution
A self-adaptive display layout system that processes user preferences, device parameters, and context information to personalize the presentation of multimedia information, adjusting the granularity, format, and layout for optimal user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If diverse multimedia information is presented to users on mobile devices, then information availability increases, but user experience deteriorates due to difficulty in sorting and finding relevant information
Solution Approach 1:
The system segments the diverse multimedia information into distinct categories (text, pictures, audios, videos) and organizes them according to user preferences and device parameters, making it easier for users to locate specific types of information without manually sorting through all content
Solution Approach 2:
The system dynamically changes presentation parameters such as layout, granularity, and format based on device screen size and user preferences, optimizing the display of diverse information types to improve accessibility and user experience across different devices
2Loss of information
If information is presented without considering device screen size, then information completeness is maintained, but user experience deteriorates due to poor fit on different displays
Solution Approach 1:
The system dynamically adjusts the layout and presentation format of information based on device screen size parameters, transforming static content into adaptive displays that maintain information completeness while optimizing visual arrangement for different form factors
Solution Approach 2:
The system changes display parameters including layout structure, text size, and media arrangement based on detected device screen dimensions, ensuring information fits appropriately on various displays without loss of content
3Measurement precision
If a self-adaptive learning system is implemented to learn user preferences, then personalization accuracy improves, but system complexity increases
Solution Approach 1:
The system implements self-service through automated learning mechanisms that continuously observe user interactions and update preference profiles without manual intervention, improving personalization accuracy while managing complexity through self-adjusting algorithms
Data Source
AI summary
A system for self-adaptive user reading preference learning and screen layout optimization for multi-media information is disclosed. The system is particular useful for devices with small display form factors, such as mobile devices. Data flow diagram (DFD) technique is used to represent a model of the screen layout for visualization. The system processes input information, which includes user information, device information, context information, and the news. The delivery news is filtered in the news processing system and presented to a user based the user's interest, whereas device information and context information, are also factors that take effect in the modeling.