Automated Switching Between Human and Virtual Assistants

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Solution Overview

Problem

Current service provider systems lack sophisticated automated mechanisms for switching between human assistants and virtual computer assistants, leading to inefficient customer interactions.

Innovation Solution

A computer-implemented method and system that automatically detects switching events based on predefined rules to seamlessly transition customers between human assistants and virtual computer assistants, utilizing a switch rules database and AI to optimize interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If manual switching mechanisms are used between human assistants and virtual computer assistants, then the system is simpler to operate, but the automation level and interaction efficiency deteriorate

Engineering Contradiction:
Improveautomated switchingVSAvoidswitching mechanism complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The system automatically detects switching events and activates the appropriate assistant (human or virtual) based on pre-configured rules stored in a database, eliminating the need for manual intervention. The controller autonomously monitors communication links and executes switching decisions based on detected events, allowing the system to serve itself without operator complexity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Switching rules are pre-configured and stored in a database before operation. The controller references these pre-established rules when detecting switching events, enabling automated decision-making without requiring complex real-time analysis. This preliminary configuration approach simplifies the operational complexity while maintaining high automation levels.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If manual switching between human assistants and virtual computer assistants is used, then the system complexity is reduced, but the productivity and customer service efficiency deteriorate

Engineering Contradiction:
Improvecustomer service efficiencyVSAvoidswitching system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The controller automatically monitors communication links and executes switching decisions based on detected events and pre-configured rules, eliminating manual intervention and improving customer service response time. This autonomous operation increases productivity by continuously optimizing assistant allocation without adding operational complexity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors communication links for switching events and dynamically adjusts assistant allocation based on real-time conditions. This feedback mechanism enables the system to adapt to changing customer needs and optimize service efficiency automatically, improving productivity while maintaining manageable system complexity through rule-based control.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If automated switching with sophisticated rules is implemented, then the interaction quality and customer experience improve, but the device complexity increases

Engineering Contradiction:
Improveswitching flexibilityVSAvoidswitching mechanism complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

Complex switching logic is pre-configured and stored in a database as simple, executable rules. The controller only needs to retrieve and apply these pre-defined rules when switching events occur, providing sophisticated adaptability without requiring complex real-time processing. This separates the complexity of decision logic from operational complexity.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The switching system is divided into distinct components: event detection, rule retrieval from database, and execution control. This segmentation allows sophisticated switching behavior to be achieved through simple, modular operations, reducing overall system complexity while maintaining high adaptability and versatility in assistant allocation.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10951761B1System and method for live and virtual support interaction
Publication Date: 2021.03.16 WELLS FARGO BANK NA
  • US10951761B1 patent drawing
  • US10951761B1 patent drawing
  • US10951761B1 patent drawing

AI summary

Disclosed herein is a computer-implemented method and related system for operating a virtual computer assistant (VCA) system of a service provider system. The method includes activating a switch to connect a communication link of the system from a human assistant (HA) to a customer and conveying first communications over the communication link to the customer from the HA. The method automatically detects a switching event according to a switching rule stored in a switch rules database stored in a memory of the system while the communication link to the HA is active. The method activates the switch to connect the communication link from the customer to a VCA after the conveying of the first communications, and then conveys second communications over the communication link to the customer from the VCA.