Avatar-Based AR Engagement System for Social Interaction
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Solution Overview
Problem
In social gatherings, individuals often face challenges in initiating conversations due to unfamiliarity or uninviting body language, leading to missed opportunities for engagement and potential business connections.
Innovation Solution
An augmented reality system that captures image data, identifies individuals using image recognition, and gathers engagement level indicators from social media and physical cues to calculate and display an engagement level via avatars, helping users determine who is likely to engage on a specific topic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individuals initiate conversations in social gatherings, then engagement opportunities and business connections may be formed, but individuals face challenges due to unfamiliarity or uninviting body language
Solution Approach 1:
The patent introduces an augmented reality system with avatar indicators as an intermediary between individuals in social gatherings. The system detects engagement interest through multiple data sources (image recognition of body language, social media data, location data) and presents this information through visual avatars, making invisible social signals visible and actionable without requiring direct interpretation of complex human behavior
Solution Approach 2:
The system implements feedback by continuously monitoring engagement indicators and updating avatar representations in real-time. The avatars provide immediate feedback about an individual's engagement interest level, allowing users to adjust their social approach based on current signals, creating a closed-loop system that improves engagement effectiveness
2Ease of operation
If augmented reality indicators are added to show engagement levels, then conversation initiation becomes easier, but the system complexity increases
Solution Approach 1:
The patent segments the complex task of assessing engagement interest into multiple independent data sources: image recognition for body language analysis, social media data retrieval, location data collection, and avatar generation. Each component operates independently and contributes a specific aspect of engagement assessment, making the overall system more manageable and maintainable
Solution Approach 2:
The system creates simplified visual copies (avatars) that represent complex engagement interest data. Instead of presenting raw data from multiple sources, the system generates intuitive avatar indicators that copy and represent the essential engagement signal, making the information easily consumable while hiding the underlying system complexity
Data Source
AI summary
A method, computer system, and computer program product for determining an engagement level of an individual is provided. The present invention may include capturing a plurality of image data depicting a relative location of a user. The present invention may also include identifying an individual within the captured image data. The present invention may further include gathering a plurality of engagement level indicator data associated with the identified individual. The present invention may also include calculating a current engagement level of the identified individual using the plurality of gathered engagement level indicator data.