Map Navigation Tab Bar Triggered by Deep Browsing Behavior
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Solution Overview
Problem
Current location marking in map navigation applications relies on manual collection and display triggering, leading to low operation efficiency.
Innovation Solution
Implementing a map display method and apparatus that utilizes user behavior recognition to automatically display a tab bar with candidate tabs for location screening, based on predefined deep browsing behaviors, and allows for quick selection and presentation of target locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual collection and manual display triggering are used for location marking, then the system structure remains simple, but operation efficiency is low
Solution Approach 1:
The system automatically detects user browsing behavior and triggers the tab bar display without requiring manual user input. The deep browsing behavior detection mechanism autonomously identifies when to show the tab bar based on user interactions with the map areal view, eliminating the need for manual collection and display triggering while maintaining simple system architecture
Solution Approach 2:
The system pre-configures the tab bar with candidate tabs for location screening before the user needs to search for locations. By preparing the tab bar structure and candidate locations in advance based on predefined deep browsing behaviors, the system enables quick location screening without requiring complex manual operations during actual use
2Ease of operation
If the tab bar is always displayed, then location screening is convenient, but the interface becomes complex and cluttered
Solution Approach 1:
The tab bar transitions from a static always-visible state to a dynamic conditional display state. It automatically appears only when deep browsing behavior is detected and can be hidden when not needed, adapting the interface state based on user behavior patterns. This dynamic adjustment maintains interface simplicity while providing convenient location screening when required
Solution Approach 2:
The tab bar is extracted from the permanent interface and positioned as a conditional element that appears only when needed. By separating the tab bar from the base interface structure and triggering it only upon detecting deep browsing behavior, the system maintains a clean simple interface while providing enhanced functionality when required
3Productivity
If automatic tab bar display based on deep browsing behavior is implemented, then operation efficiency is improved, but behavior recognition complexity increases
Solution Approach 1:
The behavior recognition system focuses on detecting specific local interaction patterns (deep browsing behaviors) rather than analyzing all user actions comprehensively. By identifying particular meaningful interactions such as extended viewing or specific navigation patterns, the system achieves accurate triggering without requiring complex comprehensive behavior analysis
Solution Approach 2:
The system uses predefined parameter thresholds to determine deep browsing behavior, such as time duration or interaction frequency criteria. By converting complex behavior detection into simple parameter comparisons against predefined values, the system achieves efficient automatic triggering without complex behavior recognition algorithms
Data Source
AI summary
A map display method, apparatus, and computer-readable storage medium for intelligently displaying location screening tabs in map navigation applications. The method displays a main interface of a map navigation application with a map areal view, and identifies predefined user deep browsing behaviors as tab bar wake-up events. Based on these wake-up events, a tab bar comprising candidate tabs configured to screen locations is displayed on the main interface. A target tab is determined based on user selection operations on the tab bar, and target locations matching the selected tab are presented in the map areal view. This approach enables context-aware interface elements that appear based on user interaction patterns, improving navigation efficiency and user experience.