Adaptive User Interface Layout for Identity-Based Public Machines
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Solution Overview
Problem
Traditional graphical user interfaces (GUIs) in public service machines are static and generic, failing to adapt to the diverse needs of users, leading to operational difficulties, reduced efficiency, and user dissatisfaction.
Innovation Solution
A system and method for automatically adjusting a user interface based on user identity recognition, incorporating biometric identification and behavior analysis to dynamically capture and analyze user characteristics, adjusting display content, layout, and presentation parameters to optimize user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static and generic GUI designs are used, then device complexity is reduced and ease of manufacture is improved, but adaptability to diverse user needs deteriorates and user experience is limited
Solution Approach 1:
The system performs preliminary actions by capturing user characteristics (biometric data, behavior patterns) before the user interacts with the interface. This advance data collection enables the system to pre-configure personalized interface settings, eliminating the need for complex real-time adjustments during user interaction and resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The system implements self-service by automatically adjusting interface parameters based on captured user characteristics without requiring manual user configuration. The system serves itself by using its own collected data to personalize the experience, eliminating the need for complex user setup procedures while maintaining high adaptability.
2Ease of manufacture
If programming operations are required for designing and editing broadcasted information, then manufacturing precision and control are improved, but ease of manufacture deteriorates and accessibility for non-technical professionals is reduced
Solution Approach 1:
The system replaces the mechanical system of manual programming and code editing with an automated computational system that uses algorithms to generate and adjust interface configurations based on captured user characteristics. This substitution allows non-technical users to achieve precise design control through simple interactions rather than requiring programming expertise.
Solution Approach 2:
The system performs self-service by automatically generating and adjusting interface designs based on captured user data, eliminating the need for manual programming operations. The system uses its own collected characteristics data to configure interfaces precisely without human intervention in the design process.
3Adaptability or versatility
If one-size-fits-all interface designs are used, then device complexity is reduced and ease of operation is maintained, but adaptability to different user groups (age, cultural background, technological proficiency) deteriorates
Solution Approach 1:
The system applies local quality by customizing specific interface elements (text size, color schemes, icon complexity) according to the particular needs of each user group identified through captured characteristics. Rather than changing the entire interface uniformly, only relevant local elements are adjusted to match user preferences and abilities, maintaining simplicity while improving adaptability.
Solution Approach 2:
The system performs preliminary actions by capturing and analyzing user characteristics before interface interaction begins. This advance analysis enables the system to pre-configure appropriate interface settings for different user groups, ensuring ease of operation from the start without requiring users to manually adjust settings or navigate complex configurations.
4Productivity
If traditional GUI technology is used in public service machines, then device complexity is reduced and maintenance is simplified, but productivity and service effectiveness deteriorate due to operational difficulties and user frustration
Solution Approach 1:
The system implements feedback by continuously capturing user characteristics and interaction data, then using this information to dynamically adjust the interface in real-time. This feedback loop enables the system to adapt to user needs during interaction, improving service effectiveness by reducing operational difficulties and user frustration without requiring overly complex manual intervention systems.
Solution Approach 2:
The system performs self-service by automatically configuring and adjusting interface parameters based on captured user characteristics without requiring external intervention or complex manual setup. This automation improves productivity by eliminating service bottlenecks while keeping the added complexity hidden from users through seamless automatic adaptation.
Data Source
AI summary
The present invention provides a system and method for automatically adjusting a user interface based on user identity, aiming to offer a more personalized and user-centric interface experience. The system, installed on a server and at least one output device, operates in conjunction with a user device to enable automatic adjustment of the user interface. It dynamically adjusts the display interface based on user physical characteristics (such as height, vision, age, and eye-gazing position) and usage state. This includes modifications to display content, layout of display blocks, and interface presentation parameters to optimize user experience. Further, the system can auto-adjust font size and brightness based on user's height, vision, age, and eye-gazing location, ensuring optimal visibility and convenience. Particularly suitable for diverse usage environments and different user groups, this technology significantly enhances the flexibility of the interface and efficiency of user interaction.