Virtual Assistant for Personalized Communication Responses

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Solution Overview

Problem

Users face challenges in multitasking during communication sessions, as they struggle to actively participate and respond in real-time while attending to other tasks, leading to potential loss of opportunities and a degraded user experience.

Innovation Solution

An enhanced virtual assistant or intelligent agent analyzes communication session content using natural language processing and machine learning to identify relevant content and generate responses, allowing users to focus on other tasks while appearing attentive.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a user actively monitors and responds to communication session content in real-time, then the user experience and responsiveness are improved, but the user cannot simultaneously attend to other tasks

Engineering Contradiction:

Improveresponsiveness in communication sessionVSAvoidability to multitask

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent introduces an intelligent agent as an intermediary between the user and the communication session. The agent monitors communication content, determines relevance to the user, and generates draft responses, allowing the user to multitask while maintaining responsive participation through periodic review and approval of agent-generated responses

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The intelligent agent performs self-service by autonomously monitoring communication sessions, identifying relevant content, and generating appropriate responses without requiring continuous user attention. The user only needs to review and approve responses at convenient times, enabling simultaneous engagement in other tasks

Inventive Principle:

Principle #25Self-service

2Productivity

If a user distributes attention across multiple tasks, then productivity is improved, but the user appears unresponsive and disengaged in communication sessions

Engineering Contradiction:

Improveability to perform multiple tasksVSAvoidperceived engagement in communication

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The intelligent agent serves as a mediator that maintains the user's presence and engagement in communication sessions while the user focuses on other tasks. The agent generates draft responses that reflect user preferences and communication history, preserving the appearance of active participation

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The intelligent agent creates copies or drafts of responses based on the user's communication patterns, preferences, and historical behavior. These draft responses mimic the user's typical communication style and can be quickly reviewed and sent, maintaining engagement without requiring full user attention

Inventive Principle:

Principle #26Copying

3Measurement precision

If a user manually analyzes communication content and generates responses, then response accuracy is improved, but time consumption increases

Engineering Contradiction:

Improveresponse accuracy and relevanceVSAvoidtime spent on communication tasks

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The intelligent agent performs preliminary actions by pre-analyzing communication content, pre-determining relevance based on user preferences, and pre-generating draft responses. This preliminary work reduces the user's time investment to simple review and approval, while maintaining high accuracy through the agent's sophisticated analysis capabilities

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The intelligent agent autonomously performs the time-consuming tasks of monitoring communication sessions, analyzing content relevance, and generating response drafts. The user only needs to perform the quick task of reviewing and approving responses, dramatically reducing time consumption while maintaining response quality

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20240037343A1Virtual assistant for generating personalized responses within a communication session

Publication Date: 2024.02.01 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Intelligent agents (IA) for automatically generating responses to content within a communication session (CS) are disclosed. An IA is trained to target the responses to a user and the user's context within the CS. An IA receives CS content that includes natural language expressions encoding users' conversations and determines content features based on natural language models. The content features indicate intended semantics of the expressions. The IA identifies likely-relevant content to the targeted user, to generate a response for. Identifying such content includes determining a relevance of the content based on content features, a context of the CS, a user-interest model, and a content-relevance model. Identifying the likely-relevant content to respond to is based on the determined relevance of the content and relevance thresholds. Various responses to the identified portions of the content are automatically generated and provided based on a natural language response-generation model targeted to the user.