Information Processing Device for Display Content Selection
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Solution Overview
Problem
Existing information processing systems for display devices struggle to provide content that attracts user interest, often including uninteresting content in the displayed material.
Innovation Solution
An information processing device that communicates with display devices to acquire user attribute ratios and facility content correlations, identifying and displaying content aligned with the most prevalent user attributes to maximize interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content is displayed by display devices without user attribute analysis, then display operation is simple, but content attractiveness to users deteriorates
Solution Approach 1:
The system performs preliminary analysis of user attributes (age, gender, interests) before content selection. By pre-acquiring user attribute information and pre-establishing content databases categorized by attributes, the system prepares personalized content in advance, enabling both simple automated display operation and high content attractiveness without manual intervention during actual display.
Solution Approach 2:
The system changes the parameter of content selection from generic to personalized based on user attributes. By varying content parameters (type, category, characteristics) according to detected user attributes, the system maintains simple display operation while significantly improving content attractiveness through attribute-based content matching.
2Device complexity
If generic content is displayed to all users, then display system complexity is low, but user interest and engagement deteriorate
Solution Approach 1:
The system segments the user base into different attribute groups (age groups, genders, interest categories) and segments the content database accordingly. This segmentation enables automated personalized content selection without increasing overall system complexity, as each segment has pre-defined content associations. The segmentation approach directly improves user engagement by delivering relevant content to each group while maintaining simple automated operation.
Solution Approach 2:
The system implements feedback mechanisms by detecting user attributes in real-time and using this information to select appropriate content. The feedback loop from user attribute detection to content selection automation improves user engagement effectiveness without requiring complex manual intervention, as the system automatically adjusts content based on detected user characteristics.
3Speed
If content selection is manual without automated analysis, then system processing speed is fast, but content relevance to user attributes deteriorates
Solution Approach 1:
The system performs preliminary organization of content into attribute-based categories and pre-establishes matching rules between user attributes and content types. This preliminary preparation enables rapid automated content selection with high attribute matching accuracy, eliminating the need for manual content analysis while maintaining fast selection speed through pre-configured matching logic.
Solution Approach 2:
The system replaces manual content selection (mechanical human decision-making) with automated attribute-based content selection using detection and processing circuits. This substitution maintains fast content selection speed while dramatically improving attribute matching accuracy by using systematic automated analysis instead of manual judgment.
Data Source
AI summary
An information processing device executes communication with a display device. The information processing device includes an acquisition unit that acquires ratio information that indicates a ratio of each attribute corresponding to a plurality of users existing in a vicinity of the display device and a facility table indicating correspondence relationship between content and an attribute, an identification unit that identifies one attribute based on ordinal ranks corresponding to the ratio of each attribute and identifies content corresponding to the identified attribute based on the facility table, and a control unit that executes control for making the display device display the identified content.


