Navigation System Preference Analysis Mechanism

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Solution Overview

Problem

Existing navigation systems fail to effectively balance the variety of features with user-relevant context, leading to inefficiencies and poor user experience due to the lack of a mechanism to analyze user preferences for navigation information.

Innovation Solution

A navigation system that identifies non-default route selections, determines contextual parameters, and generates a user preference profile to represent user preferences for navigation information, allowing for preference-based routing without direct user input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If navigation systems provide multiple route options and features, then user choice and versatility are improved, but user experience deteriorates due to lack of preference analysis

Engineering Contradiction:

Improveroute option varietyVSAvoiduser experience

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically analyzes user behavior patterns and generates preference profiles without requiring direct user input. The navigation system serves itself by inferring user preferences from route selections, travel times, and contextual data, then uses these profiles to personalize future recommendations, eliminating the need for users to manually configure preferences

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors and learns from user interactions with navigation features, using this feedback to refine preference profiles. By analyzing which routes users select, how long they spend on each route, and contextual information, the system adjusts its recommendations dynamically, creating a feedback loop that improves personalization over time

Inventive Principle:

Principle #23Feedback

2Manufacturing precision

If navigation systems collect and analyze user preference data, then route relevance is improved, but system complexity increases

Engineering Contradiction:

Improveroute relevanceVSAvoidpreference analysis mechanism

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system introduces preference profiles as an intermediary data structure that bridges raw user behavior data and navigation recommendations. Instead of directly analyzing complex user patterns in real-time, the system first consolidates this information into simplified preference profiles, which then guide route selection, reducing computational complexity while maintaining relevance

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary analysis of user behavior data to generate preference profiles before actual navigation occurs. By pre-processing and storing these profiles, the system avoids complex real-time analysis during route selection, reducing computational burden while maintaining personalized relevance

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10323954B2Navigation system with preference analysis mechanism and method of operation thereof

Publication Date: 2019.06.18 TELENAV INC

AI summary

A method of operation of a navigation system includes: identifying a non-default selection for a selected route; determining a contextual parameter corresponding to the non-default selection; and generating with a control circuit a user preference profile based on the contextual parameter of the non-default selection for representing a preference of a system user for navigation information.