3D Smart Object Advertising via Interaction Metric Sorting
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Solution Overview
Problem
Conventional digital advertising systems rely on keyword-based approaches, leading to ineffective advertising due to limitations in targeting relevant audiences, and often result in wasteful and inefficient advertising due to issues like fake or mistaken clicks.
Innovation Solution
The system uses smart objects in a three-dimensional environment to display brand-related information to users, receiving smart object identification and metric data to generate lists of brand identification data sorted by user interaction metrics, allowing for targeted and relevant advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If keyword-based advertising is used, then advertising content can be displayed to users, but advertising effectiveness deteriorates due to inability to target relevant audiences and fake clicks
Solution Approach 1:
The patent implements feedback mechanisms by tracking user interactions with smart objects (views, clicks, engagements) and using this data to refine future advertising delivery. The system continuously monitors user behavior metrics and adjusts ad targeting based on actual user interest signals, creating a closed-loop system that improves advertising effectiveness over time while reducing waste on uninterested users.
Solution Approach 2:
The system performs preliminary actions by pre-populating the 3D environment with smart objects that contain advertising content before user arrival. These smart objects are strategically placed and configured in advance, allowing the system to immediately present relevant ads when users enter the environment, rather than reacting to user actions after the fact. This preliminary setup enables faster, more relevant ad delivery.
2Productivity
If conventional advertising systems display ads to all users, then advertising coverage is maximized, but advertising efficiency deteriorates due to wasteful spending on uninterested users
Solution Approach 1:
The patent applies local quality by making advertising content specific to individual users based on their preferences, behavior patterns, and interaction history. Instead of uniform advertising, the system tailors ad content, placement, and timing to each user's local context within the 3D environment. This personalized approach ensures advertising budget is spent efficiently on users who are actually interested, rather than wasting resources on broad, untargeted campaigns.
Solution Approach 2:
The system dynamically changes advertising parameters (such as ad content, placement location, display timing, and frequency) based on user interaction metrics and environmental context. By adjusting these parameters in real-time according to user behavior data, the system optimizes advertising efficiency and reduces waste on users who show little interest, while maintaining or increasing coverage among interested users.
3Ease of operation
If smart objects with 3D assets are used for advertising, then user engagement improves, but system complexity increases due to need for metric tracking and data processing
Solution Approach 1:
The patent implements universality by creating smart objects that serve multiple functions simultaneously: they act as 3D environmental elements, contain advertising content, track user interactions, and provide data for targeting decisions. This multi-functionality reduces the need for separate systems for each task, thereby managing complexity while maintaining high user engagement through immersive 3D advertising experiences.
Solution Approach 2:
The system introduces smart objects as intermediaries between the user and the advertising system. These smart objects mediate user interactions by capturing engagement data automatically during natural user behavior in the 3D environment, rather than requiring direct user input or complex tracking infrastructure. This intermediary layer simplifies the overall system architecture while enabling sophisticated tracking and targeting capabilities.
Data Source
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AI summary
Using various embodiments, methods and systems for displaying information associated with a smart object are described. In one embodiment, a system receives Smart Object Identification Data (SOI) and Smart Object Metric Data (SOMD) of a set of smart objects transmitted from a smart object manager in a three dimensional environment. The system determines that the user has requested Brand Related Detailed Information (BRDI) associated with at least one smart object and generate a list of smart object associated Brand Identification Data (BID) from the set of smart objects, and sort them based on the received SOMD related to each smart object within the set of smart objects. The system retrieves BRDI of a smart object with the highest quantifier of SOMD out of the set of smart objects and transmit the BRDI along with the sorted list of smart object BID to the user.