Collaboration Status Determination via Biometric and Activity Data

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Solution Overview

Problem

Existing electronic messaging systems rely on user-entered availability status, which can be inaccurate and outdated, leading to ineffective communication and potential overload on users.

Innovation Solution

A method that determines a user's collaboration status by combining health data and collaboration activity data, using physiological parameters and social interaction metrics to automatically update availability notifications, ensuring more accurate reflection of a user's availability and well-being.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If user-entered availability status is used, then the system is simple to operate, but the accuracy of collaboration status indication deteriorates

Engineering Contradiction:

Improveuser operation simplicityVSAvoidcollaboration status accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The system automatically determines collaboration status by monitoring user activity data and health data without requiring manual user input. The user's device self-reporting mechanisms track collaboration activities, and health sensors automatically provide physiological data, eliminating the need for users to manually update their availability status while maintaining high accuracy through objective data collection.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously collects user activity data and health data, processes this information through algorithms, and dynamically updates the collaboration status indication. This closed-loop feedback mechanism ensures the status reflects real-time user state by comparing current data against collaboration patterns and physiological indicators, thereby improving accuracy without increasing user burden.

Inventive Principle:

Principle #23Feedback

2Device complexity

If user-entered availability status is used, then the system complexity is low, but the status information becomes outdated

Engineering Contradiction:

Improvesystem complexityVSAvoidstatus update timeliness

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The system continuously monitors user activity data and health data in real-time without interruption. Activity trackers continuously log collaboration interactions, while health sensors continuously capture physiological parameters. This continuous data collection ensures the collaboration status indication remains current and reflects the user's actual availability at any given moment, eliminating the outdated status problem.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system proactively determines collaboration status by analyzing user data before external communication attempts occur. By continuously monitoring and predicting user availability based on current activity and health patterns, the system prepares accurate status information in advance, preventing communication to unavailable users and reducing the time lag between status change and indication update.

Inventive Principle:

Principle #10Preliminary action

3Ease of manufacture

If manual status selection is required, then the system is easier to implement, but user productivity deteriorates due to frequent status changes

Engineering Contradiction:

Improvesystem implementation easeVSAvoiduser productivity

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The system automatically determines and updates collaboration status without requiring user intervention. Health sensors and activity trackers autonomously collect data, algorithms automatically process this information to determine status, and the system seamlessly updates status indications. This eliminates the need for users to manually select or change status, freeing them to focus entirely on their collaborative work and thereby improving productivity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements automatic status determination through continuous feedback loops where user activity and health data are continuously monitored, processed, and used to dynamically adjust collaboration status indications. This automated feedback mechanism replaces manual status selection, reducing the time users spend managing their own status while maintaining accurate, real-time availability information that enhances overall team productivity.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10841255B2Determination of an online collaboration status of a user based upon biometric and user activity data

Publication Date: 2020.11.17 MERATIVE US LP

AI summary

Methods, systems, and computer readable media are provided for determining a collaboration status of a user of an electronic messaging system based on user data, including: (i) health data representative of a physiological parameter or mental engagement of the user and (ii) collaboration activity data representative of social collaboration activity of the user, to determine the collaboration status. Historical health data and collaboration activity data may be included in the determination of the collaboration status. In some aspects, the collaboration status may reflect a real-time collaboration status of the user.