Virtual Recruiter Agent for Contextual Telephonic Conversations
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Solution Overview
Problem
Existing virtual conversation systems are limited in their ability to conduct real-time, spontaneous, and contextually relevant telephonic speech conversations with humans, struggle to handle interruptions, lack domain-specific conversational data, and cannot engage in non-linear conversations or ask contextually relevant follow-up questions.
Innovation Solution
An omni-channel orchestrated conversation system and virtual conversation agent using AI and ML to simulate human-like conversations across various channels, including telephonic speech, email, and text messaging, capable of determining relevant follow-up questions and generating summary reports with scored information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing virtual conversation systems are used, then basic automated conversation is possible, but real-time spontaneous and contextually relevant telephonic speech conversation capability is lost
Solution Approach 1:
The patent introduces a human recruiter as an intermediary who trains the virtual recruiter by providing sample conversations, questions, and responses. This intermediary approach allows the virtual system to learn human-like conversational patterns while maintaining automation, resolving the contradiction between automated operation and human-like adaptability
Solution Approach 2:
The system performs preliminary training by collecting sample conversations, questions, and responses from human recruiters before deploying the virtual recruiter. This pre-preparation of training data enables the virtual system to handle real-time spontaneous conversations without requiring complex real-time decision-making infrastructure
2Extent of automation
If existing virtual conversation systems are used, then conversation automation is achieved, but ability to handle interruptions and engage in non-linear conversations is lost
Solution Approach 1:
The virtual recruiter system is designed to be dynamic rather than static, allowing it to adapt its conversation flow based on interruptions and non-linear user responses. The system can deviate from predetermined scripts and handle unexpected inputs, maintaining automation while improving operational flexibility
Solution Approach 2:
The system incorporates feedback mechanisms where the virtual recruiter learns from actual conversation outcomes and user interruptions. This feedback loop enables the system to improve its interruption handling and non-linear conversation capabilities while maintaining automated operation
3Adaptability or versatility
If general virtual conversation systems are used, then basic language processing is possible, but domain-specific conversational data and contextually relevant follow-up questions are lost
Solution Approach 1:
The patent applies local quality by tailoring the virtual recruiter's language processing capabilities to specific recruiting domains. Instead of general-purpose language processing, the system is specialized with domain-specific vocabulary, context, and conversation patterns relevant to recruiting, preserving critical domain information
Data Source
AI summary
An omni-channel orchestrated conversation system and virtual conversation agent for realtime contextual and orchestrated omni-channel conversation with a human and an omni-channel orchestrated conversation process for conducting realtime contextual and fluid conversation with a human by a virtual conversation agent in relation to a particular domain are disclosed.