Interactive Media Content Timing Based on User Satisfaction Signals
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Solution Overview
Problem
Existing systems fail to provide user-relevant supplemental content in interactive media, leading to frustration and resource waste, and lack real-time user satisfaction and engagement metrics.
Innovation Solution
A system that determines user satisfaction and engagement metrics in real-time to selectively display supplemental content, such as advertisements, based on user performance and mood, adjusting timing and content type accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If supplemental content is provided continuously throughout user interaction, then information availability is improved, but user frustration increases and user engagement decreases
Solution Approach 1:
The system dynamically adjusts supplemental content delivery based on real-time user satisfaction metrics. Content is selectively provided only when user satisfaction is above a threshold, transforming static continuous delivery into dynamic conditional delivery that adapts to user state
Solution Approach 2:
The system continuously monitors user satisfaction through metrics and uses this feedback to control supplemental content delivery. This closed-loop approach ensures content is only provided when likely to be received positively, preventing user frustration while maintaining information availability
2Ease of operation
If supplemental content is provided during high-engagement moments, then user engagement is improved, but resource consumption increases
Solution Approach 1:
The system uses real-time user satisfaction feedback to determine when supplemental content should be delivered. By monitoring engagement metrics and satisfaction levels, the system activates content delivery only when conditions are favorable, avoiding wasteful resource consumption during inappropriate moments
Solution Approach 2:
The system changes the parameter of content delivery timing based on user satisfaction thresholds. When satisfaction is above the threshold, content is delivered; when below, delivery is suppressed. This parameter-based control optimizes resource usage by aligning content delivery with user receptiveness
3Adaptability or versatility
If user satisfaction is monitored continuously, then content relevance is improved, but system complexity increases
Solution Approach 1:
The system uses the interactive media itself as the source of satisfaction metrics, requiring no external monitoring infrastructure. The media application's own execution data (completions, failures, usage patterns) serves as the feedback mechanism, making the system self-monitoring and reducing overall complexity
4Device complexity
If supplemental content is provided without considering user mood, then content delivery simplicity is improved, but user frustration increases
Solution Approach 1:
The system transitions from static content delivery to dynamic conditional delivery based on user satisfaction state. Content delivery decisions are made dynamically based on real-time metrics, allowing the system to adapt to user mood without requiring complex manual intervention
Data Source
AI summary
In an interactive media system, for example, in a video game or extended reality (XR) environment, interactive media event information may be received. An interactive media satisfaction value may be determined based on one or more interactive media events received. For example, the event may be scoring a point by the user. When the interactive media satisfaction value is determined to be high, supplemental content with more upbeat themes may be selected for display in the interactive media user interface, while supplemental content with more negative themes, or more comfort-oriented or escapist themes may be selected when the satisfaction value is low. A user engagement metric may also be determined and used for timing, locating, and selecting a mode for presenting the supplemental content.