Digital Human Companion Connection Points for Empathy and Trust
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Solution Overview
Problem
Current digital assistants lack the ability to establish trust and empathy with users, particularly in providing companionship and support to the aging population, failing to meet their individual needs and combat loneliness and isolation.
Innovation Solution
A digital human companion system utilizing advanced artificial intelligence and natural language processing to facilitate personalized and human-like interactions by mirroring user behavior, demonstrating empathy and trust, and adapting to user preferences through machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advanced AI and NLP are incorporated to enable human-like interaction, then the digital human companion can demonstrate empathy and build trust with users, but the device complexity and computational resources required increase significantly
Solution Approach 1:
The system segments the complex AI processing into distinct functional modules: NLP processing, emotion recognition, connection point identification, and response generation. Each module handles specific aspects of the interaction, making the overall system more manageable and maintainable while achieving human-like empathy and trust building
Solution Approach 2:
The patent introduces 'connection points' as intermediary elements that bridge the gap between user input and empathetic response. These connection points represent identified emotional or personal significance moments that mediate the interaction, allowing the system to build trust without requiring complete simulation of human consciousness
2Adaptability or versatility
If the digital human companion mirrors user behavior and incorporates feedback to increase adaptability, then personalized interaction quality improves, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-identifying and storing connection points from user interactions as they occur. Emotional states, preferences, and significant moments are captured and organized in advance, allowing the digital human to quickly retrieve and reference this information during subsequent interactions without requiring extensive real-time processing
Solution Approach 2:
The system implements continuous feedback loops where user responses to personalized interactions are analyzed and incorporated into the connection point database. This feedback mechanism allows the digital human to refine its personalization strategy over time, improving adaptability while optimizing processing efficiency through learned patterns
Data Source
AI summary
In an approach for employing digital human technology, incorporating advanced artificial intelligence and natural language processing, to facilitate a more personalized and a more human-like interaction with a user, a processor initiates an interaction between a digital human companion and a user in response to an input from the user. A processor derives a connection point from the interaction between the digital human companion and the user to build a relationship with the user. A processor prepares a first response to the input from the user incorporating the connection point. A processor outputs the first response to the user. A processor incorporates a set of feedback received from the user to customize the digital human companion to increase a first level of intelligence and a second level of adaptability of the digital human companion.