Large Format Display Adaptive Content Delivery
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Solution Overview
Problem
Large Format Display (LFD) apparatuses struggle to adaptively provide content to users based on their profiles and environments, leading to diminished viewer interest and reduced advertising effectiveness due to fixed content delivery methods.
Innovation Solution
An LFD apparatus equipped with sensors to recognize users and a processor that acquires user profile information, determines relevant clothing models and accessories, and dynamically controls the display to show personalized content based on user interactions and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the LFD apparatus displays pre-stored content in a predetermined method, then the device complexity is reduced and ease of operation is improved, but the adaptability to different users and environments deteriorates
Solution Approach 1:
The display content transitions from static pre-stored content to dynamic content that changes based on real-time sensor input. The processor continuously receives sensor data, identifies user characteristics, and updates the displayed content accordingly, making the system adaptive rather than fixed.
Solution Approach 2:
The system implements a feedback loop where sensors continuously monitor the environment and user presence, the processor analyzes this data to identify user characteristics, and the display adjusts content based on this analysis. This closed-loop system enables continuous adaptation to user needs.
2Device complexity
If the LFD apparatus uses fixed content delivery method, then the device complexity is reduced, but the viewer interest and advertising effect deteriorate
Solution Approach 1:
The content delivery system becomes dynamic by incorporating sensor-based user identification. The processor selectively displays different content based on identified user characteristics, transforming the static advertising approach into an adaptive system that maintains viewer interest through personalized content.
Solution Approach 2:
The system changes the parameter of content selection based on user characteristics detected by sensors. By varying the displayed content according to user profile, age, or other identified attributes, the system maintains advertising effectiveness without requiring excessive system complexity.
3Ease of operation
If the LFD apparatus continues displaying the same content, then the ease of operation is maintained, but the viewer interest and engagement deteriorate
Solution Approach 1:
The system uses sensor feedback to detect user presence and characteristics, then automatically adjusts content delivery. This feedback mechanism enables the system to maintain ease of operation while significantly improving viewer engagement through personalized and context-aware content selection.
Solution Approach 2:
The content parameters (type, duration, category) are dynamically changed based on user identification results. The processor selects from multiple pre-stored content items based on user characteristics, maintaining operational simplicity while enhancing engagement through content variety and personalization.
Data Source
AI summary
A Large Format Display (LFD) apparatus is provided. The LFD apparatus may include: a display; a sensor configured to recognize a user that is present within a predetermined distance from the display; and a processor configured to acquire profile information of the user recognized through the sensor, determine a model and recommended clothes corresponding to the acquired profile information, and control the display to display the clothing wearing the recommended clothes.


