Navigation System Personalization via Past Experience Data
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Solution Overview
Problem
Assistive navigation systems fail to incorporate personal experiences and associations, such as locations linked to activities and people, into direction-providing mechanisms.
Innovation Solution
A system comprising a processor, output device, and memory that accesses electronic maps and user past experiences to output personalized directions, including landmarks and locations associated with those experiences, by modifying routes to pass by significant places based on user data structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional assistive navigation systems provide directions based solely on electronic maps and routes, then the system complexity remains low and processing is simple, but the directions lack personal relevance and user engagement
Solution Approach 1:
The system performs preliminary actions by collecting and storing user experience data (visits, activities, associations) in advance before navigation is needed. This pre-processing of personal data allows the system to quickly retrieve and integrate relevant experiences during direction provision without adding complex real-time processing requirements
Solution Approach 2:
The patent introduces an intermediary layer that sits between the traditional navigation system and the user. This intermediary processes user experience data and translates it into personalized direction augmentations, such as mentioning familiar landmarks or suggesting routes through previously enjoyed locations, without requiring complete system redesign
2Ease of operation
If the system incorporates user past experiences and associations into navigation directions, then the user-friendliness and contextual relevance improve, but the data processing requirements and computational load increase
Solution Approach 1:
The system extracts only the essential and relevant features from user experience data needed for navigation personalization, such as frequently visited locations, preferred route characteristics, and significant landmarks. This selective extraction reduces data processing requirements by focusing only on the most useful information rather than analyzing complete user history
Solution Approach 2:
The patent applies local quality by providing personalized information only at specific relevant points along the navigation route rather than uniformly throughout. For example, the system mentions familiar landmarks or experiences only when they are geographically relevant to the current navigation context, reducing overall data processing needs while maintaining user-friendliness where it matters most
Data Source
AI summary
A device accesses not only an electronic map to provide directions on the device, but also accesses personal experience information of a user to augment the directions.