AR Ambience Matching for Time-Offset Ad Targeting

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Solution Overview

Problem

Existing augmented reality (AR) advertising methods are limited by simple triggers like object detection or location, leading to ineffective targeting and reduced conversion rates, as they fail to consider the user's cumulative experience over time.

Innovation Solution

Advertisers can specify ambience specifications comprising multiple view specifications offset in time, using ambience attributes collected from AR devices to determine a best fit based on match quality and rarity, ensuring targeted advertisements align with the user's experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If advertisements are targeted based on simple triggers like object detection or location, then the system complexity is reduced, but the ad relevance and conversion rates deteriorate

Engineering Contradiction:

Improvesystem complexityVSAvoidad relevance

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The ambience specification is segmented into multiple view specifications, each with multiple ambience attributes. This allows complex ad targeting to be broken down into manageable components that can be independently collected, processed, and matched, resolving the contradiction between system complexity and ad relevance.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transitions from simple trigger-based targeting (0D) to multi-dimensional ambience specification (3D+). By adding temporal dimension (offsets between views) and attribute dimension (multiple ambience attributes per view), the system achieves high relevance without excessive complexity through structured dimensionality.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Quantity of substance

If advertisements are presented frequently to users, then the advertising volume increases, but user satisfaction and conversion rates deteriorate due to over-exposure

Engineering Contradiction:

Improveadvertising volumeVSAvoidover-exposure

Core Design Contradiction:

Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The system dynamically adjusts ad presentation based on real-time ambience matching and rarity calculations. Instead of static frequent presentation, the system adapts the timing and frequency of ads based on the user's current experience context, maintaining optimal advertising volume while avoiding over-exposure.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system uses periodic sampling of ambience attributes over time to determine ad eligibility. By establishing patterns through repeated observations and using temporal offsets in view specifications, the system creates natural periodicity in ad presentation that prevents saturation while maintaining relevance.

Inventive Principle:

Principle #19Periodic action

3Reliability

If advertisements are targeted based on cumulative user experience over time, then the ad relevance improves, but the data collection and processing complexity increases

Engineering Contradiction:

Improvead relevanceVSAvoiddata processing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The cumulative experience is segmented into discrete view specifications with specific ambience attributes. This allows the complex task of analyzing cumulative user experience to be divided into manageable units that can be processed systematically, improving ad relevance while controlling processing complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary data collection and processing by establishing ambience attribute baselines and patterns before ad delivery decisions are made. This preliminary action simplifies the overall process by pre-processing complex data into actionable insights, reducing real-time processing complexity.

Inventive Principle:

Principle #10Preliminary action

4Loss of time

If advertisements are targeted based on single snapshot in time, then the response time is reduced, but the ad relevance deteriorates due to lack of contextual understanding

Engineering Contradiction:

Improveresponse timeVSAvoidad relevance

Core Design Contradiction:

Loss of timeVSReliability

Solution Approach 1:

The system performs preliminary analysis of ambience attributes and their temporal patterns before making ad delivery decisions. By pre-processing the contextual understanding from multiple time points, the system maintains fast response time while achieving high ad relevance through comprehensive contextual analysis.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250384466A1Visual adwords in augmented reality based on quality and rarity of ambience specification

Publication Date: 2025.12.18 ADEIA GUIDES INC

AI summary

Some embodiments of the present disclosure relate to methods and systems for providing an advertisement to a user based on a collective experience of the user. One method includes accessing a plurality of ambience specifications having corresponding advertisements. Each ambience specification may comprise a first view specification and a second view specification, and each view specification may comprise a list of ambience attributes. The method may include capturing first data at a first time and determining, for each of the first view specifications, a first match quality value. The method may include capturing second data at a second time and determining, for each of the second view specifications, a second match quality value. The method may include determining a best fit ambience specification based on the first match quality values and the second match quality values, and presenting to the user, the advertisement corresponding to the best fit ambience specification.