Adaptive Navigation Device Using Driver Profile
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Solution Overview
Problem
Current navigation devices often annoy users by providing unnecessary or confusing instructions, especially for familiar routes, as they do not account for individual driver habits and preferences effectively.
Innovation Solution
A navigation device that collects data on driver behavior and environmental conditions to adapt navigation instructions, using a profile-based system to personalize route guidance and reduce user annoyance by modifying instruction clarity, timing, and volume based on driver profiles and situational factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation instructions are provided for all routes including familiar ones, then navigation completeness is improved, but user annoyance increases
Solution Approach 1:
The system applies different instruction strategies to different route segments based on driver familiarity. For unfamiliar routes, detailed instructions are provided; for familiar routes, instructions are reduced or omitted. This local differentiation resolves the contradiction by providing completeness where needed while avoiding annoyance where not needed.
Solution Approach 2:
The navigation system dynamically adjusts the level of instruction detail based on real-time assessment of driver familiarity with route segments. As drivers become more familiar with certain routes, the system automatically reduces instruction frequency and detail, transforming the static navigation approach into a dynamic one that adapts to changing driver needs.
2Measurement precision
If detailed navigation instructions are provided continuously, then navigation accuracy is improved, but information overload increases
Solution Approach 1:
The system extracts and removes redundant navigation instructions from the continuous stream of guidance. By identifying and eliminating unnecessary repetitive instructions, particularly in familiar areas, the system maintains navigation accuracy while preventing information overload.
Solution Approach 2:
Instead of providing full detailed instructions continuously, the system applies partial action by providing only the essential instructions needed at each moment. This selective approach maintains sufficient navigation accuracy while avoiding the excessive information that would occur with continuous detailed guidance.
3Adaptability or versatility
If navigation system learns driver habits through monitoring, then personalization is improved, but system complexity increases
Solution Approach 1:
The navigation system performs self-learning by automatically monitoring driver behavior patterns and using this information to personalize instruction delivery. The system serves itself by gathering data on driver responses, route preferences, and familiarity levels, then autonomously adjusts its instruction strategy without requiring external programming or complex configuration.
Data Source
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AI summary
The invention relates to a navigation device wherein navigation instruction are adapted to the driver preferences. The driving behaviour of the driver is recorded (like speed, time to prepare for an exit etc.), and the way he responds to navigation instructions (promptly, or always too late for example). Traffic, weather and time information may be combined with information on the driving behaviour of the driver. This information is examined and used to build up a driver profile. This driver profile is used to adapt future navigation instructions. Alternatively, traffic and weather informat ion may be used to build up route and/or environmental profiles. These profiles can also be used separate form the driver profile to adjust the navigation instruction. The combination of these two techniques, building up a profile (or adapt a pre-defined profile) and adapt the navigation instructions, makes the navigation device a more personal-fit navigation aid. Also, giving the right instructions to a specific driver may contribute to a safer behaviour.