Contextual Environmental Alert Filtering System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for providing contextual environmental information to users, such as nearby points of interest, often overwhelm users with excessive data and fail to prioritize alerts effectively, especially when users are in motion or have specific preferences, leading to inefficient information delivery.
Innovation Solution
A system that detects objects in an environment, determines a user's location relative to those objects, and adjusts the number and type of alerts based on user characteristics, such as speed and preferences, using a prioritized list and crowd-sourced data to optimize the delivery of contextual information, including visual, audio, and vibratory alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system provides comprehensive environmental information to users, then the completeness of information is improved, but the user experiences information overload and reduced usability
Solution Approach 1:
The system extracts and filters only the most relevant environmental information based on user characteristics and context. It identifies important objects and features from the complete environmental data and presents only those to the user, thereby maintaining information completeness for critical elements while reducing overall information load to improve usability.
Solution Approach 2:
The system applies different levels of information detail to different environmental elements based on their relevance. Important objects receive detailed information while less critical elements are summarized or omitted. This local differentiation allows comprehensive information coverage for essential elements while maintaining overall usability by avoiding information overload.
2Quantity of substance
If the system provides detailed environmental alerts to users, then the information richness is improved, but the alert fatigue and user overwhelm increases
Solution Approach 1:
The system extracts only the essential alert information from the complete environmental data. It identifies which objects and features warrant user notification based on user characteristics and context, presenting detailed information only for those critical elements while omitting less important details that would contribute to alert fatigue.
Solution Approach 2:
The system applies partial action by providing detailed alert information only for a subset of environmental elements rather than all detected objects. This selective approach maintains information richness for important elements while avoiding the excessive action of notifying users about every minor environmental feature, thereby reducing alert fatigue.
3Reliability
If the system detects and reports all objects in the environment, then the detection completeness is improved, but the processing complexity and data management burden increases
Solution Approach 1:
The system extracts and processes only the most relevant object information from the complete environmental detection. It identifies important objects based on user characteristics and context, maintaining detection completeness for critical elements while reducing processing complexity by focusing computational resources only on those essential objects rather than all detected elements.
Solution Approach 2:
The system segments the environmental detection process into prioritized categories. It divides objects into important and less important groups based on user characteristics, processing and managing detailed information only for important objects while using simplified handling for others. This segmentation maintains detection completeness for critical elements while reducing overall processing complexity.
Data Source
AI summary
Systems and methods for providing contextual environmental information. One embodiment of a method includes detecting a plurality of objects in an environment, identifying at least a portion of the plurality of objects in the environment, and determining a location of a user relative to the plurality of objects. Some embodiments may be configured to determine a desired number of alerts to provide the user based on a characteristic of the user and, in response to determining that the desired number of alerts is less than a number of objects detected in the environment, provide data related to a location of a subset of the plurality of objects, relative to the user.