Captured-Image Display Scheduling for Multi-Viewer Content Targeting
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Solution Overview
Problem
Existing display systems struggle to efficiently switch between target persons and effectively reproduce content when multiple individuals are viewing a display device, often favoring content targeted at specific attributes without considering the viewing status of all individuals.
Innovation Solution
An information processing device generates a reproduction schedule that determines the order and/or number of times to reproduce content based on the viewing status of multiple persons captured in an image of the display area, using a score calculation unit to assess interest levels and adjust content display accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is dynamically changed according to attributes of a viewing person, then content can be targeted at specific attributes, but when a plurality of persons are viewing, only content targeted at persons with specific attributes among the plurality can be reproduced
Solution Approach 1:
The system segments the plurality of viewers into multiple target persons based on their individual viewing statuses (position, viewing time, interest level). Instead of selecting only one specific attribute group, the system divides the audience and creates separate content reproduction schedules for each segmented group, allowing simultaneous targeting of multiple persons with different attributes.
Solution Approach 2:
The system dynamically adjusts the content reproduction schedule based on real-time viewing statuses of multiple persons. The reproduction order and timing are not fixed but change according to the current state of each viewer (position relative to display device, viewing duration, detected interest), enabling adaptive content delivery to multiple persons simultaneously.
2Productivity
If a reproduction schedule is generated based on viewing status of multiple persons, then content can be effectively reproduced for each person, but the system complexity increases
Solution Approach 1:
The system automatically generates reproduction schedules based on viewing statuses that are automatically detected and processed. The generation unit autonomously analyzes the captured image data, determines viewing statuses, calculates interest levels, and creates the reproduction schedule without manual intervention, reducing operational complexity despite the sophisticated scheduling logic.
Solution Approach 2:
The system simplifies the complexity by changing key parameters into quantifiable metrics: viewing position is converted to distance from display device, viewing time is measured as duration, and interest level is calculated as a score based on these parameters. This parameter transformation enables automated schedule generation through mathematical comparison rather than complex qualitative analysis.
Data Source
AI summary
An information processing device includes a generation unit configured to generate a reproduction schedule that determines an order and/or the number of times according to a type of content to be reproduced, on the basis of a viewing status of a plurality of persons included in a captured image obtained by capturing an area where a display screen of a display device is visible.