Contextual Place Recommendation System for Driver Distraction Reduction
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Solution Overview
Problem
Current navigation and trip planning applications do not personalize the driving experience by filtering places of interest based on user preferences and trip criteria, leading to driver distraction and irrelevant recommendations.
Innovation Solution
A method and system that determine and recommend relevant places of interest to a user based on defined criteria, including distance, interest alignment, and time constraints, while allowing users to check-in and share information about these places, minimizing distraction and enhancing the driving experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all places of interest are displayed to the driver at once without filtering, then the driver can see more options, but the driver becomes distracted and overwhelmed by irrelevant information
Solution Approach 1:
The system extracts and displays only the most relevant places of interest based on user preferences, trip criteria, and contextual factors, removing irrelevant information from the display to reduce driver distraction while maintaining useful options
Solution Approach 2:
The system applies different filtering and prioritization rules to different categories of places based on user preferences and trip context, ensuring that each displayed place has high local relevance to the driver's current needs and preferences
2Adaptability or versatility
If places of interest are recommended without considering user preferences and trip criteria, then the system can recommend more places, but the recommendations become irrelevant to the driver's needs
Solution Approach 1:
The system collects and stores user preferences, trip criteria, and contextual information in advance before generating recommendations, allowing it to pre-filter and prioritize places that will be relevant to the driver's specific needs and preferences
Solution Approach 2:
The system uses feedback from user check-ins, preferences, and trip data to continuously refine and personalize recommendations, ensuring that future recommendations are more relevant to the driver's specific needs and preferences
3Ease of operation
If the location-based application only allows basic check-in without additional information, then the application is simple to use, but valuable information about the place cannot be shared
Solution Approach 1:
The system automatically collects and processes additional information such as parking location, photos, and trip context during check-in, reducing the manual effort required from the driver while enabling rich information sharing about the place
Data Source
AI summary
The disclosure is directed to improving driving experience. For example, using one or more computing devices, a current location of a user may be determined and a place of interest, located at a distance from the current location, may be identified. The one or more computing devices may determine that the place of interest meets one or more requirements, and designate the place of interest as a candidate place of interest. The candidate place of interest may be recommended to the user based on a defined criteria. The one or more computing devices may also determine that the user has arrived at a parking location corresponding to the candidate place of interest, and associate the parking location and the candidate place of interest based on one or more inputs by the user.