In-Vehicle Content Personalization Using Product Characterization
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Solution Overview
Problem
Existing vehicle systems lack the ability to provide personalized in-vehicle content based on user interactions with products, limiting the potential for enhanced passenger engagement and entertainment.
Innovation Solution
A system that automatically detects and identifies users and their previously interacted products using vehicle sensors and docks, characterizes these products based on attributes, and provides content tailored to these products through vehicle components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle systems provide generic content to all users, then system complexity is reduced, but passenger engagement and entertainment value deteriorate
Solution Approach 1:
The system performs preliminary actions by detecting and identifying products before the user enters the vehicle. Product detection occurs at docks or entry points, and user profiles are pre-populated with product interaction data. This allows the content delivery system to be pre-configured with personalized content recommendations before the user actually enters the vehicle, reducing real-time processing complexity while maintaining high personalization capability.
Solution Approach 2:
The patent introduces an intermediary layer between product interaction and content delivery. Product detection components at docks capture product information, which is then processed through a characterization system that creates simplified product profiles. These profiles serve as intermediaries that bridge the gap between complex product data and the content delivery system, enabling personalized content selection without requiring the entire system to handle full product complexity.
2Loss of information
If vehicle systems implement comprehensive product detection and user identification, then content personalization improves, but device complexity increases
Solution Approach 1:
The detection system is segmented into multiple independent components distributed at different locations (docks, entry points, interior sensors). Each component handles specific detection tasks locally, such as RFID scanning at docks or image recognition at entry points. This segmentation allows the system to collect comprehensive product interaction data without requiring a single complex centralized detection system, as each segment operates independently with simplified functionality.
Solution Approach 2:
Products themselves provide identification information through embedded tags or markers that enable automatic detection. The system leverages the products' own identifying features (RFID tags, barcodes, visual markers) to enable self-identification during detection. This self-service approach reduces the complexity of detection equipment, as the system only needs to read or recognize information that products already carry, rather than requiring complex active sensing for each product characteristic.
3Measurement precision
If the system characterizes products based on multiple attributes, then content relevance improves, but processing time increases
Solution Approach 1:
Product characterization based on multiple attributes is performed as a preliminary action during product detection and registration. When products are detected at docks or entry points, their attributes (brand, category, features) are extracted and stored in advance. This pre-characterization eliminates the need for real-time attribute analysis when the user enters the vehicle, allowing the system to quickly retrieve and match pre-analyzed product data with appropriate content, thus maintaining high characterization accuracy without real-time processing delays.
Data Source
AI summary
This disclosure relates to a system configured to present in-vehicle content based on characterization of products. The system may be coupled to a vehicle. The system may include one or more physical processors. The processor(s) may obtain user information specifying individual sets of products interacted with by individual users prior to a ride in the vehicle. The processor(s) may identify in-vehicle content specific to individual subsets of products having one or more values of one or more product attributes in common. The processor(s) may control one or more vehicle components coupled to the vehicle to provide the in-vehicle content.