Personalized Outdoor Comfort System Using User and Environmental Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining outdoor comfort are not personalized and fail to adapt to individual physiological and psychological variations, relying solely on atmospheric data and being ineffective in considering land surface information and psychological shifts in weather patterns.
Innovation Solution
A system comprising a mobile device and a computing device that collects user-specific characteristics and environmental data, including land surface information, to provide personalized outdoor comfort determinations, using a comfort profile that adapts to individual sensitivities and psychological responses to weather patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If previous approaches use only atmospheric data for outdoor comfort determination, then the system complexity is low, but the measurement precision and personalization capability are insufficient
Solution Approach 1:
The patent combines multiple data sources including atmospheric data, land surface information, and user-specific characteristics into a unified outdoor comfort determination system. This integration merges previously separate data streams to achieve more accurate and personalized comfort assessments while managing system complexity through coordinated processing.
Solution Approach 2:
The system introduces a computing device as an intermediary that receives data from multiple sources (atmospheric sensors, land surface data, user characteristics) and processes this information to generate personalized outdoor comfort determinations. This intermediary handles the complexity of integrating diverse data types while providing simplified personalized output to users.
2Adaptability or versatility
If previous approaches rely solely on atmospheric data, then the data collection process is simple, but the adaptability to individual physiological and psychological variations is poor
Solution Approach 1:
The patent segments the outdoor comfort determination into distinct components: atmospheric conditions, land surface information, and user-specific characteristics. This segmentation allows the system to collect and process different types of data separately while integrating them to achieve personalized adaptability, managing data collection requirements through structured organization.
Solution Approach 2:
The system applies local quality by incorporating user-specific characteristics that are unique to each individual, such as physiological and psychological variations. This allows the outdoor comfort determination to be tailored to each user's specific needs and responses, enhancing personalization while collecting targeted data about individual users.
3Measurement precision
If previous approaches do not include land surface information, then the measurement process is straightforward, but the comprehensiveness of environmental factors is limited
Solution Approach 1:
The patent merges land surface information with atmospheric data to create a more comprehensive environmental assessment. This combination integrates previously separate data streams, improving measurement precision by considering both atmospheric conditions and land surface characteristics in the outdoor comfort determination.
Data Source
AI summary
Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.