Adaptive Training Program Task Selection for User State
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Solution Overview
Problem
Current curated instructional programs are ineffective when the emotional or energy states of the users are low, impacting performance and progress in areas like physical therapy, wellness, and skill acquisition.
Innovation Solution
A method and apparatus for managing tasks that adapt to a user's condition by selecting and scheduling tasks based on their energy and emotional state, using a curator-created task list with conditional logic triggers and historical usage patterns, allowing for real-time adjustments and feedback loops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed curated instructional program is used, then the program structure is simple and easy to manage, but the program effectiveness decreases when user emotional or energy states are low
Solution Approach 1:
The patent implements dynamic task selection by allowing the system to adaptively choose tasks from different difficulty levels based on real-time user state inputs. The task list transforms from a static fixed sequence to a dynamic selection pool where tasks are chosen based on current user energy and emotional states, resolving the contradiction between program effectiveness and structural simplicity
Solution Approach 2:
The system changes the parameter of task difficulty selection based on user state parameters. By monitoring user energy levels and emotional states, the system adjusts which difficulty level tasks are presented, moving from a fixed difficulty structure to a parameter-driven adaptive structure that maintains effectiveness without requiring complex manual reconfiguration
2Reliability
If tasks are manually customized for each user based on their state, then program effectiveness improves, but the time and effort required to manage multiple users increases significantly
Solution Approach 1:
The system implements self-service by automatically selecting and assigning tasks based on user-provided state inputs. The curator creates the initial task pools with different difficulty levels, but the system autonomously determines which tasks to assign to each user based on their current state, eliminating the need for manual customization and significantly reducing curator time investment
Solution Approach 2:
The system uses feedback loops where user state inputs (energy levels, emotional states) are continuously collected and fed back into the task selection algorithm. This automated feedback mechanism allows the system to adaptively customize tasks for each user without requiring manual intervention, resolving the time loss contradiction by replacing curator effort with automated state-monitoring and task-selection algorithms
3Adaptability or versatility
If the program adapts to user state in real-time, then personalized effectiveness improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the task library into distinct difficulty levels (e.g., easy, medium, hard tasks) and segments user states into discrete categories (e.g., low energy, high energy; negative emotion, positive emotion). This segmentation simplifies the adaptation logic by creating clear mapping rules between state segments and task segments, reducing system complexity while maintaining high adaptability to user conditions
Data Source
AI summary
Certain aspects relate to methods, apparatuses, and computer readable mediums for an adaptive training program to manage tasks to promote health and wellness. For example, an apparatus for an adaptive training program generally includes an interface configured to receive an input associated with a condition of a user. The apparatus also includes a processing system configured to select a set of tasks from a collection of tasks based on the input associated with the condition of the user; display the set of tasks to the user; and track a completion of the set of tasks by the user. The condition of the user may include at least one of an energy level and an emotional state of the user that is reported by the user. A method for implementing an adaptive training program is also disclosed.