Idle Time Detection for Auxiliary Content Delivery
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Solution Overview
Problem
Conventional systems for providing auxiliary content in virtual spaces do not effectively customize the timing of content delivery during idle periods, missing opportunities to engage users with relevant material.
Innovation Solution
A system that includes a server configured to detect idle periods through wait times and user activity levels, generating and displaying personalized auxiliary content, such as advertisements or promotions, within the virtual space using a client/server architecture, and tracking user responses to optimize content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If auxiliary content is provided during idle time in virtual spaces, then user engagement is improved, but timing customization capability deteriorates
Solution Approach 1:
The system dynamically adjusts the timing of auxiliary content delivery based on real-time detection of user idle periods. The content delivery timing is not fixed but adapts to changing user activity patterns, allowing the system to provide content during detected idle times while maintaining the ability to respond to varying user behaviors and preferences.
Solution Approach 2:
The system monitors user responses to auxiliary content and uses this feedback to refine future content delivery timing and selection. By tracking whether users engage with or ignore presented content, the system learns optimal timing patterns for different users, thereby improving timing customization capability through data-driven adaptation.
2Device complexity
If conventional systems provide auxiliary content without idle time detection, then system complexity is reduced, but user engagement deteriorates
Solution Approach 1:
The system automatically detects user idle periods and selects appropriate auxiliary content without requiring manual user input or complex configuration. The idle time detection mechanism operates autonomously by monitoring user activity patterns, and the content selection process is self-directed based on detected idle states, reducing the need for manual system management while maintaining engagement.
Solution Approach 2:
The system prepares and queues auxiliary content in advance based on predicted idle periods and user preferences. By pre-loading relevant content before idle times occur and having it ready for immediate presentation, the system reduces real-time processing complexity while ensuring timely delivery that maintains user engagement.
Data Source
AI summary
A system and method for displaying auxiliary content during an idle time in a virtual space.