Synthetic Virtual Representatives for Remote Customer Interaction
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Solution Overview
Problem
Conventional customer interaction methods in commercial settings often require physical presence, leading to accessibility issues and inefficiencies in information collection and relay, and are unable to provide complete and accurate datasets.
Innovation Solution
A computer-implemented method for generating synthetic virtual representatives of individuals using personal data, including visual and auditory characteristics, through machine learning algorithms, allowing for the creation of personalized avatars in virtual environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional customer interaction methods are used requiring physical presence, then personal data collection can occur, but accessibility is limited and information relay is inefficient
Solution Approach 1:
The patent creates synthetic representatives that are digital copies of real individuals, capturing their visual appearance, voice characteristics, and behavioral mannerisms. These synthetic avatars can interact with customers remotely, eliminating the need for physical presence while maintaining personalized service quality and improving both accessibility and information collection efficiency.
Solution Approach 2:
The patent replaces the mechanical system of physical customer service interactions with a digital/virtual system. Synthetic representatives use computer-generated imagery and voice synthesis to replicate human interaction, substituting physical presence with digital representation and thereby improving accessibility without sacrificing service quality.
2Quantity of substance
If physical customer service representatives are used, then complete data sets can be collected, but the process is time-consuming and inefficient
Solution Approach 1:
Synthetic representatives create digital replicas of customer interactions that can be captured, stored, and analyzed immediately. The system records comprehensive data including visual cues, voice patterns, and interaction behaviors during virtual meetings, enabling complete data collection without the time constraints of physical scheduling and travel.
Solution Approach 2:
The system prepares synthetic representatives in advance by training machine learning models on individual characteristics. This preliminary action enables the synthetic avatars to immediately engage in realistic interactions upon deployment, eliminating the time required for setup and allowing rapid data collection across multiple customers simultaneously.
3Loss of information
If conventional information relay methods are used, then communication occurs, but accuracy and completeness of information transfer are compromised
Solution Approach 1:
Synthetic representatives preserve and transmit information more accurately by capturing non-verbal cues, tone of voice, and facial expressions that are often lost in traditional phone or text-based communication. The multi-modal data capture (visual, auditory, behavioral) ensures more complete information relay while the automated processing reduces human error in information transmission.
Data Source
AI summary
Systems and methods for generating a virtual synthetic representative based upon a person or user are disclosed. Personal data associated with a person is collected, including personal data regarding a past communication of the person. One or more attributes indicative of personal mannerisms of the individual person are identified from the personal data. A synthetic virtual representative profile is then created from the identified personal mannerisms, and a synthetic virtual representative is virtually constructed based upon the virtual representative profile. The synthetic representative construction including a visual representation of the representative in a virtual environment.