Autonomous Bot Replicating Professional Speech and Visual Expressions
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Solution Overview
Problem
Current autonomous bots lack the ability to establish and maintain relationships with humans, as they cannot adapt their speech characteristics, visual expressions, and actions based on past interactions and human personalities, leading to a lack of comfort and effectiveness in important matters.
Innovation Solution
The development of an autonomous bot system that replicates the speech characteristics, visual expressions, and actions of a professional using AI models, allowing it to adapt and customize its interactions based on established relationships and human personalities, thereby creating a more comfortable and effective interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional scripted bots are used to replace humans for basic tasks, then automation efficiency is improved, but the ability to establish relationships and handle important matters deteriorates
Solution Approach 1:
The patent creates a digital twin of the human professional that copies their speech characteristics, visual expressions, and decision-making patterns. This digital twin can then interact with others as if it were the actual human, maintaining relationships and handling matters that require a personalized human touch while the human is unavailable.
Solution Approach 2:
The system pre-records and analyzes the human's speech patterns, visual expressions, and decision-making approaches during available time. This preliminary capture of behavioral data enables the digital twin to accurately replicate the human's interactions later without requiring real-time human input.
2Stability of the object's composition
If bots use programmed tone and behavior to respond to all users, then consistency is improved, but personalized human touch and comfort level deteriorate
Solution Approach 1:
The digital twin applies different qualities of interaction based on the specific human participant. It analyzes each person's personality, communication style, and relationship context, then adjusts its speech patterns, tone, and behavioral responses locally for each interaction while maintaining overall system consistency.
3Adaptability or versatility
If autonomous bots are developed to replicate human characteristics, then relationship-building capability is improved, but system complexity increases
Solution Approach 1:
The system segments the complex task of replicating human interaction into distinct components: speech characteristic replication, visual expression replication, and decision-making pattern replication. Each component is handled by specialized AI models that process specific types of data independently, then integrate their outputs to create the final digital twin behavior.
Data Source
AI summary
Disclosed is a system and associated methods for generating an autonomous bot that replicates speech characteristics, visual expressions, and actions of a professional in order to further relationships established by the professional in meetings that the professional is unavailable for. The system monitors meetings involving the professional at different stages of a workflow, and classifies the workflow stage associated with each meeting. The system models content, speech characteristics, and visual expressions expressed by the professional at each workflow stage based on commonality that is detected in a different set of meetings classified to a corresponding workflow stage. The modeling is used to generate an autonomous bot as a surrogate for the professional in a meeting that the professional is unavailable for. The autonomous bot interacts with other meeting participants by replicating the content, speech characteristics, and visual expressions of the professional throughout the meeting based on the modeling.