Video Dictation Work Unit Generation in Collaboration Systems

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Solution Overview

Problem

Conventional collaboration environments require manual input of units of work, leading to inefficiencies and resource wastage, as computers cannot automatically generate and manage work units without manual input.

Innovation Solution

A system that utilizes video dictation to dynamically generate units of work in real-time or near real-time within a collaboration environment, using servers and client computing platforms to process video and audio content from dictation sessions to create work units and store them as environment state information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual input is required for units of work, then data accuracy is improved, but user productivity deteriorates

Engineering Contradiction:

Improvedata accuracyVSAvoiduser productivity

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system automatically generates units of work by analyzing video dictation content without requiring manual user input. The AI processes the video content, extracts task information, and creates structured work units autonomously, allowing the system to serve itself rather than requiring continuous user intervention for data entry.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual input process with an automated AI-based video analysis system. Instead of users manually typing or entering work units, the system uses computer vision and natural language processing to automatically generate units of work from video dictation, substituting human manual labor with automated computational processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual input is required for units of work, then data reliability is improved, but loss of time increases

Engineering Contradiction:

Improvedata reliabilityVSAvoidtime for manual input

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary processing of video content by continuously analyzing dictation as it occurs, pre-extracting and structuring work unit information before formal creation is needed. This preliminary action reduces the time required for subsequent processing and enables faster generation of reliable work units when needed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces time-consuming manual input processes with automated AI analysis of video content. The system uses machine learning models to rapidly process video dictation and generate work units, substituting the slow mechanical process of manual data entry with fast automated computational processes that maintain data reliability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automatic generation is implemented, then productivity is improved, but device complexity increases

Engineering Contradiction:

Improvework generation efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system integrates multiple functions into a single unified platform: video recording, dictation processing, AI analysis, and work unit generation all occur within one system. This multi-functionality reduces the need for separate tools and interfaces, managing complexity through consolidation rather than proliferation of components.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an AI processing layer as an intermediary between video input and work unit output. This intermediary layer handles the complex transformation of unstructured video content into structured work units, isolating the complexity within a dedicated component rather than dispersing it throughout the entire system architecture.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Extent of automation

If video dictation processing is implemented, then automation extent is improved, but use of energy increases

Engineering Contradiction:

Improveautomatic work unit generationVSAvoidcomputational energy consumption

Core Design Contradiction:

Extent of automationVSUse of energy by moving object

Solution Approach 1:

The system processes video content at varying levels of detail based on needs - performing full AI analysis only when necessary to generate work units, and using lighter processing for routine operations. This partial action approach avoids excessive computational energy consumption by applying intensive processing only where required rather than continuously.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11900323B1Systems and methods to generate units of work within a collaboration environment based on video dictation

Publication Date: 2024.02.13 ASANA INC

AI summary

Systems and methods to generate units of work within a collaboration environment based on video dictation are described herein. Exemplary implementations may: manage environment state information maintaining a collaboration environment; responsive to the user-initiation of video dictation sessions, obtain video information characterizing content of the video dictation sessions; responsive to detection of completion of the video dictation sessions, generate one or more units of work for the users based on the content of the video dictation sessions; responsive to detection of completion of the video dictation sessions generate, store the video information as part of the environment state information; and/or perform other operations.