Augmented Reality Content Manager with User Filtering
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Solution Overview
Problem
Current systems lack an efficient method for recording, sharing, and accessing curated content tagged to specific locations or objects, limiting the ability to seamlessly interact with and experience moments in real-time or batch mode without friction.
Innovation Solution
A system comprising servers and smart devices that collect and distribute moment files, which include media content associated with tagged objects, using augmented reality elements, allowing users to record, read, and share experiences based on location and orientation, with features like frictionless access and user filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If moment files are made accessible to all users without filtering, then ease of access is improved, but information overload and irrelevant content increase
Solution Approach 1:
The patent applies local quality by implementing user-specific filtering where each user receives customized moment files based on their profile, preferences, and historical behavior. The system dynamically adjusts content delivery to provide high-quality relevant information to each user individually while maintaining broad accessibility to the overall system.
Solution Approach 2:
The patent introduces an intermediary filtering layer between the moment file repository and users. This intermediary system processes and selects moment files based on user profiles, acting as a mediator that balances universal access with personalized relevance, preventing information overload while maintaining ease of access.
2Loss of information
If recorder-side filtering is implemented to define eligible readers, then information relevance is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service filtering where users automatically build and update their own profiles through interactions with moment files. The system learns user preferences autonomously without requiring complex manual configuration, reducing system complexity while maintaining high content relevance through automated profile-based filtering.
Solution Approach 2:
The patent incorporates feedback mechanisms where user interactions with moment files (viewing, engaging, skipping) are continuously monitored and used to refine filtering algorithms. This feedback loop automatically improves content relevance over time without requiring increased system complexity, as the learning algorithm adapts based on observed user behavior.
3Ease of operation
If frictionless access is implemented for moment files, then ease of operation is improved, but control over content distribution decreases
Solution Approach 1:
The patent applies dynamics by making content distribution control adaptive rather than static. Access control rules are dynamically adjusted based on user profiles, context, and behavior patterns. This allows frictionless access for authorized users while maintaining flexible control mechanisms that can adapt to different situations and user needs without requiring complex manual intervention.
Data Source
AI summary
A system for collection and distribution of curated tagged content includes a server or collection of servers in communication with one or more networks. The servers receive moment files generated by recording users via recording devices; each moment file is associated with a tagged object (e.g., physical or virtual) and includes associated media content. Each moment file is associated with recorder-side filtering via which a potential reader may be defined as an eligible or ineligible reader of the moment file. The server stores the received moment files to memory and receives indications of reading devices near an associated tagged object. The server receives indications of reading devices near a tagged object associated with a moment file; for those reading users determined eligible to read a moment file, the server forwards to their associated reading devices associated media content for display in response to engagement by the reading user.