AR Secondary Content Matching for Contextual Ad Timing
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Solution Overview
Problem
Current augmented reality (AR) marketing practices fail to deliver contextually relevant ads that retain viewer attention, often bombarding users with irrelevant content and risking safety due to complex media consumption in motion.
Innovation Solution
Generate secondary content by determining user interest in primary content through gaze, heartbeat, and other interactions, and matching it with real-life objects using AR devices to create a two-part content: a reminder snippet from the primary content and context-specific supplemental content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional targeted ads are delivered based on browsing history, then product recommendations are provided, but the ads are not relevant in time and bombard the user with irrelevant content
Solution Approach 1:
The system continuously monitors user interactions with primary content (clicks, views, time spent) and uses this feedback to dynamically adjust and deliver secondary content that is contextually relevant. This closed-loop feedback mechanism ensures ads are delivered at the right moment when user interest is highest, resolving the contradiction between contextual relevance and timeliness.
Solution Approach 2:
The system identifies and prepares secondary content in advance based on predicted user interests from primary content interactions, so that when the user is most likely to be interested, the relevant ad is already ready and delivered immediately. This preliminary preparation ensures both contextual relevance and timely delivery without delay.
2Loss of information
If AR ads provide detailed information to the viewer, then comprehensive product information is delivered, but the user cannot pay attention to complex media without risking safety when in motion
Solution Approach 1:
The ad content is segmented into multiple components: essential information is delivered through concise text or icons that can be quickly perceived, while detailed information is available on-demand or in expanded views. This segmentation allows users to obtain necessary information quickly without being overwhelmed by complex media, maintaining safety while providing comprehensive information.
Solution Approach 2:
The system delivers only the essential or most relevant portion of ad information in the immediate view, with the option to access additional details when appropriate. This partial delivery approach ensures users receive key information without being burdened by excessive complex media that would require sustained attention and pose safety risks.
3Productivity
If current AR marketing practices use traditional targeted ads placement, then ads are delivered to users, but the ads do not retain viewer attention
Solution Approach 1:
The ad delivery system is made dynamic by continuously adapting to real-time user interactions with primary content. Ads are not statically placed but dynamically selected and timed based on current user behavior, ensuring they appear when engagement is highest. This dynamic approach maintains high delivery efficiency while significantly improving viewer attention and engagement.
Solution Approach 2:
The system changes key parameters of ad delivery including timing, content selection, and presentation format based on real-time analysis of user interactions with primary content. By adjusting these parameters dynamically, the system maintains efficient ad delivery while adapting to varying user engagement levels, thereby improving viewer attention without sacrificing productivity.
Data Source
AI summary
Systems and methods for generating secondary content item that includes a first portion that is a reminder of the original interest and a second portion that is content relevant to the original interest are disclosed. The methods provide primary content for the user's consumption. User interest based on a plurality of factors, such as user's gaze, heartbeat, or facial expression, is determined during the user's consumption of the primary content. One or more objects or frames are identified as primary objects or frames of interest. The methods also scan in real-time, real-life objects that are in the field of view of an augmented reality device. A determination that the real-time object is related to the primary object of interest is made. A determination is also made if any environmental or local adjustments need to be made. A secondary content item with any environmental or local adjustments is generated.


