Sub-content Delivery System with Passive User Engagement Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for providing online content, such as videos, require users to click a skip button to bypass advertisements, leading to inaccurate billing and user inconvenience, and do not adequately consider user preferences or optimal sub-content duration.
Innovation Solution
A method that provides predetermined sub-content before main content, displays a user interface after a certain period, and continues sub-content playback only if the user selects it within a specified time, allowing for accurate and user-preferred advertising without the need for manual button clicks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a skip button is provided to allow users to bypass advertisements, then user convenience is improved, but advertisement billing accuracy deteriorates because users who do not click the button are incorrectly assumed to have watched the ad
Solution Approach 1:
The system automatically determines whether the user has watched the advertisement by detecting mouse movement patterns and cursor position, eliminating the need for manual button clicking. The advertisement watching status is self-determined through passive monitoring of user behavior rather than active user input.
Solution Approach 2:
The system continuously monitors mouse movement data and provides feedback about user engagement with the advertisement. By tracking cursor position and movement patterns, the system receives real-time feedback on whether the user is actually viewing the ad content, enabling accurate billing decisions.
2Device complexity
If the advertisement duration is randomly determined, then system complexity is reduced, but advertisement viewing rate deteriorates due to mismatch with user preferences and main content importance
Solution Approach 1:
The system dynamically adjusts advertisement duration based on multiple parameters including user preferences, main content importance, and user behavior patterns. By changing the duration parameter adaptively rather than using fixed or random values, the system optimizes advertisement viewing rates while maintaining reasonable complexity through structured decision-making.
Solution Approach 2:
The advertisement duration is made dynamic rather than static, allowing the system to adjust the length of advertisement playback based on real-time conditions such as user engagement levels, content type, and user preferences. This dynamic adjustment increases advertisement effectiveness without requiring overly complex systems.
3Device complexity
If sub-content is provided without considering user preferences, then system complexity is reduced, but user satisfaction deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing user preference data before providing sub-content. User preferences are gathered in advance through browsing history, click patterns, and engagement metrics, allowing the system to personalize content delivery without adding significant complexity during the actual content provision phase.
Solution Approach 2:
The system replaces complex mechanical analysis of user preferences with automated computational methods. By using algorithms to process user behavior data and automatically determine content recommendations, the system achieves high adaptability without requiring manual intervention or overly complex decision-making structures.
Data Source
AI summary
Disclosed herein is a method, apparatus, and computer program for providing sub-content while providing online content. The method, apparatus, and computer program for providing sub-content while providing online content provides predetermined sub-content before providing online main content to a user, displays a predetermined user interface after a certain period of time, and continuously provides the sub-content only when the user selects the user interface.