Task Management Component Adapting Deadlines via Biometric Feedback

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Solution Overview

Problem

Existing techniques for managing tasks in communication networks are inefficient in adapting to individual user performance and health conditions, leading to suboptimal workflow management, especially in group settings where diverse abilities and schedules complicate task assignment and sequencing.

Innovation Solution

A task management component (TMC) that uses AI-based analysis of task-related, biometric, and feedback information to adaptively adjust task attributes, such as deadlines and schedules, to optimize task performance, considering user expertise, health, and stress levels, and coordinates task assignments in group settings to ensure efficient and timely task completion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional task management methods are used, then task assignment is simple, but task completion efficiency is low due to lack of adaptation to individual user performance and health conditions

Engineering Contradiction:

Improvetask completion efficiencyVSAvoidtask management system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system continuously collects biometric data (stress levels, fatigue, sleep patterns) and task performance feedback from users, then uses this feedback to dynamically adjust task attributes such as deadlines, priorities, and assignments. This closed-loop feedback mechanism enables the system to adapt to individual user conditions and optimize task completion efficiency.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The task management system transitions from static task assignments to dynamic adjustments based on real-time user conditions. Task attributes including deadlines, priorities, and assignments are continuously modified according to changing user biometric data and performance metrics, allowing the system to adapt flexibly to individual needs.

Inventive Principle:

Principle #15Dynamics

2Reliability

If rigid task schedules are imposed, then task deadlines are met, but user stress and fatigue increase leading to burnout

Engineering Contradiction:

Improvetask deadline adherenceVSAvoiduser stress and fatigue

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system proactively monitors user biometric indicators (stress levels, fatigue, sleep quality) before critical thresholds are reached and preemptively adjusts task schedules and deadlines. By detecting early signs of burnout through continuous biometric monitoring, the system can modify task assignments before stress and fatigue become harmful, preventing burnout while maintaining deadline adherence.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically changes task parameters such as deadlines, priorities, and assignments based on real-time biometric data. When stress or fatigue levels exceed thresholds, the system automatically adjusts these parameters to reduce harmful effects while maintaining task completion reliability.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If task attributes are fixed, then planning is straightforward, but the system cannot adapt to changing user conditions and priorities

Engineering Contradiction:

Improveadaptation to user conditionsVSAvoidadaptive system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The task management system autonomously adjusts task attributes based on biometric data and performance feedback without requiring manual intervention. The system self-regulates by automatically modifying deadlines, priorities, and assignments according to user conditions, reducing the need for complex manual management while maintaining high adaptability.

Inventive Principle:

Principle #25Self-service

4Productivity

If manual task monitoring is used, then user privacy is maintained, but real-time optimization of task performance is not achieved

Engineering Contradiction:

Improvetask performance optimizationVSAvoiduser data privacy

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

Biometric devices serve as intermediaries between the user and the task management system, collecting and transmitting relevant performance and health data automatically. This intermediary layer enables real-time optimization of task performance while minimizing direct user intervention and protecting privacy through automated, passive data collection.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20240104467A1Techniques for managing tasks for efficient workflow management

Publication Date: 2024.03.28 AT&T INTELLECTUAL PROPERTY I L P

AI summary

Tasks associated with users can be managed for efficient workflow management. A task management component (TMC) can analyze, including performing artificial intelligence-based analysis on, task-related information relating to associated with a user(s), assessment information relating to assessing performance or expertise associated with a task, biometric information relating to health, diet, and activity associated with the user(s), and/or user(s) feedback information. Based on the analysis, TMC can adaptively adjust respective attributes associated with respective tasks, resulting in respective adjusted attributes associated with the respective tasks. Based on the respective adjusted attributes, TMC can determine task information and can present the task information to a device(s) associated with the user(s) to facilitate performance of the tasks. In response to detecting user fatigue or stress, TMC can adjust task attributes, including task completion due dates, to allow user recovery time, while still ensuring timely completion of tasks.