Mobile Display Interface Conversion System
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Solution Overview
Problem
Current mobile terminals lack the ability to dynamically adjust their display interfaces based on user identity information and surrounding environment data, resulting in a non-personalized experience.
Innovation Solution
A display interface converting system comprising a condition capturing module, a display interface adjustment module, and a storage module that captures external condition data and adjusts the display interface according to preconfigured transformation conditions and strategies, which can be locally or remotely stored, allowing for real-time updates and personalized user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the display interface uses fixed wallpaper or preconfigured strategies, then the system complexity is low and ease of operation is maintained, but the adaptability to different users and environments is poor
Solution Approach 1:
The system preconfigures multiple transformation condition data sets and corresponding adjustment strategies in the storage module before runtime. These preconfigured data sets include various user identities, location scenarios, and environmental conditions, allowing the system to quickly match and apply appropriate strategies without complex real-time processing, thus achieving high adaptability with minimal system complexity
Solution Approach 2:
The display interface transformation system dynamically adjusts the display interface based on real-time condition data captured from sensors, user identity information, and environmental data. The system transitions from static fixed wallpaper to dynamic content transformation by comparing captured conditions with preconfigured transformation condition data and applying matching adjustment strategies, enabling the interface to adapt flexibly to different users and environments
2Adaptability or versatility
If real-time condition capture and interface adjustment are implemented, then the adaptability and personalization are improved, but the energy consumption increases
Solution Approach 1:
Transformation condition data and adjustment strategies are preconfigured and stored in the storage module before runtime. This preliminary preparation allows the system to perform simple matching operations rather than complex real-time processing, significantly reducing energy consumption while maintaining real-time adaptability
Solution Approach 2:
The condition capturing module captures condition data periodically or triggered by specific events rather than continuously, and the display interface adjustment module compares and adjusts interfaces based on these periodic updates. This periodic operation mode reduces energy consumption compared to continuous monitoring and adjustment, while still providing timely interface transformations
3Adaptability or versatility
If multiple transformation condition data and adjustment strategies are stored, then the personalization capability is improved, but the storage requirements and device complexity increase
Solution Approach 1:
The transformation condition data is segmented into distinct categories including user identity information, location data, environmental conditions, and corresponding adjustment strategies. Each segment is stored as separate structured data in the storage module, allowing efficient storage and quick retrieval based on specific conditions, thereby reducing overall storage requirements while maintaining comprehensive personalization capability
Solution Approach 2:
The preconfigured transformation condition data and adjustment strategies are designed to be universally applicable across different user identities, locations, and environmental conditions. A single set of preconfigured data can serve multiple scenarios through pattern matching, reducing the total quantity of storage requirements while maintaining broad personalization capability across diverse situations
Data Source
AI summary
The present invention discloses a display interface converting system and a method thereof, which belongs to the technical field of mobile terminal interface transformation. The system comprises a display interface adjustment module, a storage module and a condition capturing module. The storage module has preconfigured a transformation condition data and has preconfigured the corresponding adjustment strategy. The method includes: transmitting the captured condition data to the display interface adjustment module; comparing the condition data with the preconfigured transformation condition data; obtaining the corresponding adjustment strategy and adjusting the display interface according to the adjustment strategy if the comparison is successful. The beneficial effects of this technical scheme are that as follows: it provides the user with different display interface corresponding to the different circumstances in the mobile terminal, consequently the mobile terminal is more personalized, and the user's application experience is improved.