Augmented Reality Overlay for Location-Based Social Networking

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Solution Overview

Problem

There is a need for systems and methods that utilize augmented reality to facilitate networking among users, particularly in social interactions for dating, friendship, and business opportunities, as existing technologies do not effectively leverage augmented reality for real-world environment overlays.

Innovation Solution

A social network application that utilizes augmented reality overlays on user devices to present computer-generated elements related to users and their environment, allowing for filtering, matching, and interaction based on location, status, and preferences, with features like AR elements indicating compatibility and allowing users to connect or decline matches, and integrating advertising and event management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If augmented reality overlays are used to present networking information, then networking effectiveness is improved, but device complexity increases

Engineering Contradiction:
Improvenetworking effectivenessVSAvoidAR system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The AR overlay system is integrated into an existing social networking application, allowing the same device to serve both traditional networking functions and enhanced AR-based networking functions. This multi-functionality approach avoids the need for separate dedicated AR networking devices, thereby improving networking effectiveness while managing device complexity through resource sharing.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Speed

If real-time location-based matching is implemented, then networking speed is improved, but information processing requirements increase

Engineering Contradiction:
Improvematching speedVSAvoidenergy consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The system pre-calculates and prepares matching algorithms by organizing user profiles and preferences beforehand. When location data becomes available, the pre-prepared algorithms can quickly process and generate matches without requiring intensive real-time computation, thus achieving fast matching while reducing energy consumption during active networking sessions.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If detailed user information is displayed in AR overlays, then networking quality is improved, but privacy risks increase

Engineering Contradiction:
Improvenetworking qualityVSAvoidprivacy risks
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system implements selective information disclosure where different levels of user information are displayed in different contexts and to different users. Sensitive information is only revealed when specific conditions are met (e.g., mutual interest confirmed, user permission granted), while basic information is available more broadly. This localized quality control maintains networking quality by providing relevant information while mitigating privacy risks through context-aware disclosure.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11089439B2Systems and methods for real-world networking using augmented reality interface
Publication Date: 2021.08.10 HOHMAN CHARLES
  • US11089439B2 patent drawing
  • US11089439B2 patent drawing
  • US11089439B2 patent drawing

AI summary

Systems and methods for creating a social network are described that utilize augmented reality elements displayed on a user device. Each augmented reality element preferably presents information about the person associated with the element, and can be a link to additional information about the person. The augmented reality elements can be presented on the user device based on information received from a server, which can analyze a location of the user device relative to other users and compare information about the users to determine a likelihood that each pair of users may be a match. The analysis can be based on characteristics of the users as well as user input such as preferences and so forth. The potential matches can be presented to the user via the user device as augmented reality elements, which may be varied depending on a type of connection preferred or the determined likelihood of a match.