Virtual Media Placement Using 3D Engagement Heatmaps
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Solution Overview
Problem
Determining appropriate placement of digital media within virtual experiences to enhance user engagement while minimizing distraction is challenging, as current methods fail to account for user demographics and spatial telemetry, leading to suboptimal immersion and enjoyment.
Innovation Solution
A method involving tracking spatial telemetry of avatars within virtual experiences, creating engagement heatmaps with 3D voxels, and using these heatmaps to automatically select and place digital media in high-traffic areas based on demographic targeting, with real-time adjustments based on engagement metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If digital media is placed in heavily trafficked areas, then visibility and potential engagement increase, but user distraction and immersion loss increase
Solution Approach 1:
The system applies local quality by creating engagement heatmaps that divide the virtual environment into discrete voxels, each with its own engagement metrics. This allows digital media to be placed in specific high-engagement locations without uniformly affecting the entire environment, enabling targeted placement that maximizes visibility while minimizing distraction in low-traffic areas
Solution Approach 2:
The system performs preliminary action by tracking spatial telemetry and generating engagement heatmaps before digital media placement. This pre-analysis of user behavior patterns allows the system to identify optimal placement locations in advance, ensuring media appears in high-engagement zones without requiring trial-and-error placement that would cause unnecessary distraction
2Manufacturing precision
If digital media placement is manually optimized, then placement precision improves, but system complexity and time consumption increase
Solution Approach 1:
The system applies self-service by automatically tracking spatial telemetry, generating engagement heatmaps, and identifying optimal placement locations without human intervention. The system serves itself by using its own collected data to make placement decisions, eliminating the need for manual optimization while maintaining high placement precision through algorithmic analysis of user behavior patterns
Solution Approach 2:
The system implements feedback by continuously tracking spatial telemetry data from avatars and using this information to generate engagement heatmaps that guide future media placement decisions. This closed-loop feedback mechanism allows the system to automatically refine placement precision based on actual user engagement patterns without increasing manual complexity
3Productivity
If digital media is placed without considering spatial telemetry, then placement speed increases, but engagement effectiveness decreases
Solution Approach 1:
The system performs preliminary action by pre-tracking spatial telemetry and generating engagement heatmaps before media placement. This advance preparation of engagement data allows for rapid placement decisions that are already optimized for effectiveness, maintaining high placement speed while ensuring media appears in high-engagement zones identified through prior telemetry analysis
Data Source
AI summary
Some implementations relate to methods, systems, apparatuses, and computer-readable media for automatic digital media placement within a virtual experience provided at a virtual experience platform. Spatial telemetry of avatars is tracked during a time window and stored in an engagement heatmap comprising three-dimensional voxels, each representing a subsection of the virtual experience. Each voxel includes a size value representing the number of avatars and an intensity value representing the magnitude of telemetry. Voxels are ranked based on size and intensity, and a target demographic and relevant subsections are identified. Digital media is automatically selected and placed at subsections associated with voxels that exceed an engagement threshold. The placement is performed outside the telemetry collection window and is configured to be viewable by avatars associated with the target demographic.