Dynamic Search Category Prioritization in Vehicle Navigation
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Solution Overview
Problem
Existing navigation systems fail to dynamically adjust search categories based on the passenger's context and vehicle status, leading to suboptimal user experience.
Innovation Solution
A method that utilizes a computing device to obtain vehicle information and passenger context, determining the priorities of surrounding search categories, and displaying them accordingly, taking into account factors like location, child presence, fuel level, weather, and time of day.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search categories are displayed in a fixed order, then the navigation system structure is simple, but the user cannot easily find the desired category based on their situation
Solution Approach 1:
The search category display order is made dynamic by adjusting it based on real-time passenger situation identification. The system automatically reorders search categories according to the identified passenger context (e.g., traveling, shopping, dining), transforming the static display into an adaptive one that responds to changing user needs without requiring manual configuration.
Solution Approach 2:
The system changes the display parameter (category order) based on the identified passenger situation. By mapping situation types to priority assignments for different search categories, the system dynamically adjusts the display parameters to match user intentions, making the most relevant categories appear first based on the current passenger context.
2Adaptability or versatility
If the navigation system is customized for each user situation, then the user experience is improved, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically identifying the passenger situation using vehicle information and search result analysis, then autonomously adjusting the search category display without requiring user input or manual configuration. This automation enables individualization while keeping the user interface simple and the system operationally straightforward.
Solution Approach 2:
The system incorporates feedback loops where search result information and vehicle status data are continuously analyzed to identify passenger situations, which then feed back into adjusting the search category display. This feedback mechanism enables the system to adapt to user needs based on actual usage patterns and context without requiring explicit user programming.
3Productivity
If multiple search categories are displayed with equal priority, then the system is simple to implement, but the user needs to search through more options to find what they want
Solution Approach 1:
The system performs preliminary action by pre-determining the priority order of search categories based on the identified passenger situation before the user actually searches. By anticipating user needs based on situation context (e.g., placing dining categories higher when traveling), the system prepares the optimal search order in advance, reducing the time users need to search through categories.
Solution Approach 2:
The system applies local quality by assigning different priority levels to different search categories based on their relevance to the current passenger situation. Instead of uniform treatment, each category receives customized priority weighting according to its suitability for the identified context, making the most relevant categories more prominent while maintaining simple implementation through rule-based priority assignment.
Data Source
AI summary
Search category varying methods and devices are described. According to an embodiment, a method comprises obtaining from a vehicle a vehicle information indicating a state of the vehicle, obtaining a context information indicating a situation of a passenger using the vehicle information; determining respective priorities of a plurality of surrounding search categories based on the context information, and displaying the plurality of surrounding search categories under the respective priorities.