AR VR View Location Metrics and Engagement Attribution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional digital marketing systems are not adapted to the spatial realities of virtual and augmented reality environments, lacking effective methods to attribute user interactions and measure engagement with digital marketing content in these immersive spaces.
Innovation Solution
The generation of view location metrics and engagement attribution scores based on log data from user devices, incorporating spatial and orientational coordinates to visualize user interactions and quantify engagement with virtual objects, such as time viewed, proximity, and subsequent actions, to optimize the placement and effectiveness of digital marketing virtual objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional digital marketing techniques are used in AR/VR environments, then digital marketing content can be delivered to users, but user interactions cannot be accurately attributed due to lack of spatial awareness
Solution Approach 1:
The patent transforms traditional 2D digital marketing metrics (clicks, impressions) into 3D spatial metrics by incorporating coordinates (x, y, z), viewing angles, and proximity measurements. This parameter transformation enables accurate attribution of user interactions in AR/VR environments by mapping user actions to specific spatial locations and orientations.
Solution Approach 2:
The invention adds spatial dimensions to conventional digital marketing tracking. By introducing three-dimensional coordinates, viewing angles, and depth information, the system creates a multi-dimensional framework for measuring user interactions, transitioning from flat 2D web metrics to immersive 3D AR/VR metrics.
2Loss of information
If traditional click and page view metrics are used, then digital marketing can be tracked in conventional environments, but user engagement cannot be measured in immersive AR/VR spaces
Solution Approach 1:
The patent creates a universal measurement framework that works across both traditional 2D digital environments and immersive 3D AR/VR spaces. The system maintains compatibility with conventional click and page view metrics while extending functionality to capture spatial interactions, viewing angles, and proximity-based engagements in virtual environments.
Solution Approach 2:
The invention introduces spatial coordinate systems and orientation tracking as intermediary layers between user actions and marketing metrics. These intermediaries translate complex 3D interactions into standardized measurement data that can be processed and analyzed alongside traditional digital marketing metrics.
3Productivity
If digital marketing content is placed without spatial considerations, then content delivery is simple, but user engagement and conversion rates are suboptimal
Solution Approach 1:
The patent implements feedback loops that use measured user interactions (viewing time, proximity, orientation) to optimize digital marketing content placement. The system analyzes spatial engagement data and adjusts content positioning, orientation, and timing to maximize user engagement and conversion rates in AR/VR environments.
Solution Approach 2:
The invention performs preliminary spatial analysis and user behavior prediction to pre-position digital marketing content in optimal locations before users arrive. By anticipating user pathways and engagement patterns, the system places content in high-probability viewing zones, increasing engagement without requiring complex real-time adjustments.
Data Source
AI summary
View location metric generation and engagement attribution within an AR or VR environment are described. In one example, a system of a digital medium environment is configured to generate metric data describing viewed locations within an augmented or virtual reality environment. The system includes a log data collection module implemented at least partially in hardware of a computing device to collect log data from a plurality of user devices. The log data describes locations associated with an augmented or virtual reality environment and a viewing direction at corresponding locations. The system also includes a metric generation module implemented at least partially in hardware of the computing device to generate metric data describing viewed locations within the augmented or virtual reality environment by the plurality of user devices and an output module implemented at least partially in hardware of the computing device to output the generated metric data.