TV Interface Personalization via User Profile Matching
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Solution Overview
Problem
Current distance education TV applications fail to adapt user interfaces to individual user preferences, such as visual contrast sensitivity and cognitive load, leading to limited accessibility for users with visual disorders or differing preferences, despite advancements in user context information from second screen devices.
Innovation Solution
A system and method that utilize a data delivery device to sense user profiles from computing devices, match these profiles with pre-defined parameters, and modify the TV appliance's functionality in real-time to customize the user interface, including features like icon size, font size, color, and volume, based on user categories like elderly or housewives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single lecture content is prepared for all target audience, then content delivery is simplified, but user interface accessibility and usability deteriorate for users with visual disorders or differing preferences
Solution Approach 1:
The system applies local quality by customizing specific UI parameters (font size, icon size, color contrast, volume) for different user categories while keeping the core lecture content unchanged. Each user category receives tailored UI settings based on their profile characteristics such as visual contrast sensitivity and cognitive load capacity.
Solution Approach 2:
The system changes UI parameters dynamically based on user profile matching. When a user's device profile is detected, the system adjusts parameters like text size, color schemes, and interface complexity to match the user's visual and cognitive characteristics, thereby improving accessibility without complicating content delivery.
2Ease of operation
If user interface parameters are manually configured for each user, then user interface accessibility is improved, but device complexity and setup time increase
Solution Approach 1:
The system implements self-service by automatically detecting user profiles from connected computing devices and configuring appropriate UI parameters without manual intervention. The profile detection and matching process occurs autonomously, eliminating the need for users to manually configure complex interface settings while still providing personalized accessibility features.
Solution Approach 2:
The system performs preliminary action by pre-defining user categories and their associated UI parameter sets in advance. When a user connects their device, the system quickly matches the device profile to a pre-established category and applies the corresponding configuration, avoiding real-time complex calculations and reducing setup time.
3Adaptability or versatility
If user context information from second screen devices is utilized, then user interface personalization is improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system extracts only the essential profile parameters from computing devices that are relevant for UI personalization, such as visual contrast sensitivity and cognitive load indicators. By selectively extracting and processing only the necessary data points rather than analyzing all device information, the system achieves effective personalization while keeping data processing requirements manageable.
Data Source
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AI summary
A system and method for personalizing an appliance's functioning remotely in real-time. The user profile and set of parameters affecting the functionality of the appliance are received by a computing device by means of a communication module and are matched by a data delivery device to pre-defined parameters stored therein, for the profile categorization. An output profile is generated and is defined by matched parameters. The appliance is remotely controlled by modifying the functioning of the appliance in accordance with the output profile defined by the matched parameters.