Life Rhythm Processing System for Timely Activity Recommendations
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Solution Overview
Problem
Existing health care services struggle to provide timely and relevant information to users based on their life rhythms, leading to low user interest and service usage frequency, as they require complex operations for information retrieval and do not align with users' daily vital data changes.
Innovation Solution
An information processing system that includes a sensor unit to collect data on user movements, a life rhythm analyzing unit to analyze this data, and a content transmitting unit to provide personalized content based on the analysis, ensuring information is relevant and timely to the user's life rhythm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If statistical processing results of vital data are provided to users, then users can grasp changes in accumulated vital data, but user interest decreases and service usage frequency lowers when daily changes are small
Solution Approach 1:
The system performs preliminary analysis of vital data to detect life rhythm changes before users actively seek information. By proactively identifying when life rhythm changes occur and preparing relevant information in advance, the system ensures timely information delivery without requiring users to continuously check or search for updates, thereby maintaining user interest while providing timely information.
Solution Approach 2:
The system establishes a feedback mechanism where user responses to provided information are monitored and used to adjust future information delivery. By tracking which information users engage with and when, the system refines its timing and content selection to better align with user needs, improving both timeliness and user interest over time.
2Productivity
If information is provided through linkage with vital data registration timing, then information can be delivered to users, but users cannot timely obtain information based on their actual life rhythm
Solution Approach 1:
The system enables vital data measurement devices to automatically perform self-service functions by autonomously analyzing their own collected data to detect life rhythm changes. This eliminates the need for manual user input or complex system configurations, allowing the system to accurately detect life rhythm changes and provide timely information based on actual physiological changes rather than arbitrary registration timings.
Solution Approach 2:
The system replaces manual or mechanical information delivery triggers (such as user-initiated checks or fixed scheduling) with an automated detection mechanism that monitors vital data changes in real-time. This substitution allows the system to automatically identify when life rhythm changes occur and deliver information at the precise moment it becomes relevant to the user, improving both efficiency and accuracy.
3Loss of information
If a search type system is used to provide desired information, then users can find specific information, but users must perform complex setting operations on search conditions
Solution Approach 1:
The system performs self-service by automatically analyzing user data and determining what information would be most relevant to the user at any given time. Instead of requiring users to formulate search queries or set complex parameters, the system autonomously identifies life rhythm changes and selects appropriate information to deliver, thereby providing complete and relevant information while eliminating complex operational requirements.
Solution Approach 2:
The system replaces the mechanical search process (where users must manually set conditions and query databases) with an automated information delivery mechanism. The system continuously monitors vital data, automatically detects relevant changes, and proactively delivers information without requiring user initiation or configuration, thus maintaining information completeness while removing operational complexity.
4Reliability
If health care services provide information based on vital data, then users receive health care information, but service usage frequency decreases when information does not align with user's life rhythm
Solution Approach 1:
The system performs preliminary detection of life rhythm changes by continuously analyzing vital data before users need health care information. By identifying changes in advance and preparing relevant information in advance, the system ensures that health care information is delivered at the precise moment it becomes relevant to the user's life rhythm, thereby improving both information reliability and service usage frequency.
Solution Approach 2:
The system implements a feedback loop where user engagement with provided health care information is monitored and used to refine future information delivery. By tracking which information users access and when, the system adjusts its detection thresholds and information selection to better align with individual user needs and life rhythms, thereby maintaining high relevance and encouraging continuous usage.
Data Source
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Figure 3(A)~3(C)
AI summary
An information processing system that includes a sensor unit that collects information used for analyzing a life rhythm of a user; a life rhythm analyzing unit that analyzes the user's life rhythm based on the collected information; and a content transmitting unit that acquires an analysis result of the life rhythm of the user from the life rhythm analyzing unit and provides content based on the analysis result.