Template Development from Sensor Reported Aspects
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Solution Overview
Problem
Existing technologies fail to effectively exploit the vast amount of personal data collected through social networking sites, such as blogs and microblogs, to develop personalized plans that help users achieve specific target outcomes, as this data is scattered across multiple platforms and difficult to utilize for achieving targeted goals.
Innovation Solution
A computationally implemented method and system that provides reported aspects from source users, originally reported by sensors, to develop templates that end users can emulate to achieve target outcomes, by identifying relevant aspects and incorporating them into personalized plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If personal data is collected from multiple social networking platforms and sensors, then the quantity and variety of data increases, but the difficulty of utilizing this scattered data for targeted goals increases
Solution Approach 1:
The patent segments the scattered personal data from multiple sources into distinct reported aspects, each with specific attributes and characteristics. This segmentation allows the system to organize and process data from different sensors and social networking platforms separately, making the overall data utilization task more manageable and less overwhelming.
Solution Approach 2:
The patent introduces an intermediary processing layer that acts as a mediator between the scattered personal data sources and the template development process. This intermediary system collects, standardizes, and processes the data from multiple platforms, transforming it into a unified format that can be effectively used for developing personalized templates without requiring direct access to each individual data source.
2Reliability
If sensor data is used to create personalized templates, then the effectiveness of achieving target outcomes improves, but the complexity of the system increases
Solution Approach 1:
The patent creates simplified copies or representations of complex sensor data and user behaviors in the form of reported aspects and templates. Instead of directly processing raw sensor data, the system creates abstracted versions that capture the essential characteristics needed for template development, reducing computational complexity while maintaining effectiveness.
Solution Approach 2:
The patent transforms sensor data into reported aspects by changing the parameters and attributes of the data. This transformation process converts raw sensor readings into standardized aspects with specific properties, making the data more suitable for template development and reducing the complexity of subsequent processing steps.
3Adaptability or versatility
If reported aspects from multiple sources are integrated, then the personalization capability improves, but the time required to process and develop templates increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing and organizing sensor data into reported aspects before the actual template development process. This preliminary organization of data, including standardization and attribute extraction, is completed in advance, so that when template development begins, the data is already prepared and ready for efficient processing.
Solution Approach 2:
The patent applies partial action by focusing on extracting and processing only the most relevant reported aspects needed for template development, rather than processing all available sensor data in full detail. This selective approach maintains personalization capability while reducing the overall processing time by concentrating on essential data elements.
Data Source
AI summary
A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.