In-flight POI Ranking via Segmented Data Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Aircraft passengers have limited opportunities to receive live, relevant information during flights, as existing entertainment systems primarily rely on stored media content, lacking real-time, location-specific data that aligns with their interests and journey.
Innovation Solution
A time-sensitive, data reduction system that utilizes a network of servers to collect, rank, and present location-related content to passengers based on their current position and interests, using airline-specific datasets that include points of interest (POIs) with unique ranks, metadata, and demographic/psychographic data, allowing for personalized and up-to-date information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If stored media content is used for in-flight entertainment, then passengers can be entertained during flight, but passengers cannot receive live, real-time information about their journey and destinations
Solution Approach 1:
The system divides the entertainment system into separate functional modules: a content delivery system for pre-loaded entertainment content and a separate information delivery system for real-time location-based data. This segmentation allows each subsystem to operate independently with appropriate complexity, while together they provide comprehensive in-flight entertainment and information services.
2Loss of information
If all location-related content is presented to passengers, then comprehensive information is provided, but passengers are overwhelmed with irrelevant data reducing content relevance
Solution Approach 1:
The system applies local quality by customizing the information presentation based on passenger demographics and psychographics. Different passenger segments receive different subsets of location-related content tailored to their specific interests and characteristics, ensuring each passenger receives highly relevant information rather than a uniform comprehensive dataset.
Solution Approach 2:
The system performs preliminary actions by collecting and analyzing passenger demographic and psychographic data before the flight, and pre-ranking location-related content based on predicted passenger interests. This advance preparation enables the system to quickly deliver relevant information during flight without requiring complex real-time decision-making.
3Speed
If data is collected and processed in real-time during flight, then up-to-date information is provided, but data latency and stale information occur
Solution Approach 1:
The system performs preliminary actions by pre-collecting location-related content and pre-ranking it based on passenger profiles before the flight departs. This advance preparation allows the system to quickly deliver relevant information during flight by simply retrieving and displaying pre-processed data, eliminating the need for complex real-time data collection and processing while ensuring data freshness for the flight duration.
Data Source
AI summary
A time-sensitive, data reduction system is described. According to an aspect of the system, a method is disclosed that comprises: receiving at least a portion of an airline-specific dataset, wherein the airline-specific dataset comprises a plurality of location records, wherein each location record comprises a point of interest (POI) and a unique rank, wherein the POI is defined by unique geographic identifier; determining a current position of the aircraft; and based on the current position and based on the unique rank of each of the plurality of location records, controlling, at a passenger display in the aircraft, a presentation of a map and a plurality of POI indicators associated with a highly-ranked subset of the plurality of location records. According to another aspect of the system, a plurality of servers are used provide relevant location-related content to an aircraft passenger.