Lifestyle Advice System Scheduling Based on Physical Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for providing lifestyle improvement advice often fail to account for a user's schedule, making it difficult for users to execute the advised behaviors.
Innovation Solution
An information providing device that acquires physical information and schedule information from users, and uses this data to decide the content and timing of advice for lifestyle improvement, ensuring that the advice is executable within the user's schedule.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advice is provided based on physical information only, then the advice content is scientifically accurate, but the advice cannot be executed by the user due to schedule constraints
Solution Approach 1:
The system dynamically adjusts advice content and timing based on real-time schedule information. The decision-making process is not static but adapts to changing user availability, transforming rigid scientifically-accurate advice into flexible, context-aware recommendations that can be executed within the user's actual schedule constraints.
Solution Approach 2:
The system changes multiple parameters simultaneously including advice content, execution timing, and duration based on schedule information. By modifying these parameters according to user availability, the system maintains scientific accuracy while ensuring the advice is practically executable within the user's schedule.
2Productivity
If general advice is provided without considering user schedule, then the advice can be provided quickly, but the user cannot execute the advice due to schedule conflicts
Solution Approach 1:
The system performs preliminary analysis of the user's schedule information before generating advice content. By pre-processing schedule data to identify available time slots and constraints, the system can quickly generate executable advice without sacrificing speed, as the schedule analysis is prepared in advance rather than during the advice generation process.
3Device complexity
If advice timing is not optimized based on schedule information, then the advice generation process is simple, but the advice is not actionable for the user
Solution Approach 1:
The decision unit serves multiple functions: it analyzes schedule information, determines optimal timing, adjusts advice content, and ensures executability. This multi-functional approach consolidates what would otherwise require separate complex systems into a single integrated unit, maintaining relative simplicity while achieving actionable advice through the universal application of schedule-based decision-making.
Data Source
AI summary
An information providing device includes a physical information acquisition means that acquires physical information including an attribute, a physical condition, and a goal with respect to the physical condition of a user, a user information acquisition means that acquires information regarding the user including schedule information of the user, a decision means that decides a content of an advice for the goal and a timing of executing the content of the advice based on the physical information and the schedule information, and an output means that outputs the content of the advice and the timing.


