Conversation Replay System for Chatbot Task Delegation

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Solution Overview

Problem

Users face inefficiencies when performing repetitive tasks with conversational chatbots, as they must repeatedly provide similar information or messages across different platforms, wasting time and effort.

Innovation Solution

A system that allows users to replay previous conversations with conversational chatbots, converting audio to text, deconstructing conversations into tasks, named entities, and user preferences, and enabling passive or active modes for task completion and delegation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually perform repetitive tasks with multiple conversational chatbots, then task completion is achieved, but user time and effort are significantly wasted

Engineering Contradiction:

Improvetask completion efficiencyVSAvoiduser time spent on repetitive operations

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically replaying recorded conversations with multiple chatbots without requiring user intervention. The conversation replay mechanism pre-executes repetitive tasks by leveraging previously captured interaction patterns, thereby eliminating the need for users to manually repeat the same operations across different platforms.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates and utilizes copies of previous conversation interactions to automate repetitive tasks. By recording and replaying conversation sequences, the system replicates successful interaction patterns across multiple chatbot platforms, allowing users to complete similar tasks efficiently without manual re-input of information.

Inventive Principle:

Principle #26Copying

2Reliability

If users manually input information for each chatbot interaction, then accurate communication is achieved, but user effort and time consumption increase

Engineering Contradiction:

Improvecommunication accuracyVSAvoiduser effort required

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system copies previously recorded conversation data and replays it automatically with multiple chatbots. This copying mechanism preserves the exact wording and structure of effective communications while eliminating manual re-typing, thereby maintaining communication accuracy while dramatically reducing user effort.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The conversation replay system enables self-service automation where the system automatically manages the repetition of communication tasks without requiring ongoing user intervention. Once a conversation is recorded, the system autonomously replays it across multiple platforms, freeing users from the burden of manual information input while maintaining reliable communication.

Inventive Principle:

Principle #25Self-service

3Adaptability or versatility

If users engage in simultaneous repetitive operations with multiple chatbots, then task diversity is covered, but time management becomes complex and inefficient

Engineering Contradiction:

Improveability to perform tasks across multiple platformsVSAvoidtime spent coordinating multiple interactions

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system merges multiple repetitive chatbot interactions into a single automated conversation replay process. By combining the functionality of interacting with multiple chatbots into one unified replay mechanism, the system maintains the ability to perform diverse tasks across platforms while eliminating the time spent coordinating and managing each interaction separately.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS11336595B2Replay of conversations for task completion and delegation

Publication Date: 2022.05.17 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

A system is configured to replay a selected conversation with a selected agent. The selected conversation may be selected from a plurality of previously conducted conversations with other agents. The selected agent may be selected from a plurality of available agents. The system determines various tasks, named entities, and user preferences from the selected conversation. During a replay of the selected conversation with the selected agent, the system generates responses to messages received from the selected agent based on the determined tasks, named entities, and user preferences. The system also allows a user to select whether the replayed conversation should be conducted in a passive mode or in an active mode. In a passive mode, the system generally conducts the replayed conversation autonomously whereas, in an active mode, the system requests user input before sending a response to the selected agent.