User Experience Mapping via Eddy and Delta Navigation Graphs
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Solution Overview
Problem
Existing systems face difficulties in analyzing and visualizing user navigation patterns and website traffic changes, particularly due to recurring visits and site updates, which complicate the optimization of website navigation and user experience.
Innovation Solution
The system maps user experiences over a network by generating directed graphs that track and visualize user navigation events and recurring patterns, enabling clear analysis and optimization of website operation through eddy and delta mapping techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed tracking of all user navigation events is implemented, then measurement precision of user behavior is improved, but device complexity and data processing burden increase
Solution Approach 1:
The patent extracts and isolates only the relevant navigation events that contribute to recurring patterns, rather than processing all possible user interactions. The system identifies and extracts key navigation paths and filtering criteria to focus analysis on meaningful user behavior patterns while excluding redundant data.
Solution Approach 2:
The navigation event data is segmented into discrete, analyzable units including individual navigation events, sequences of events, and recurring patterns. The system divides the complex user journey into manageable segments that can be tracked, stored, and analyzed independently before being reassembled into comprehensive user experience maps.
2Measurement precision
If comprehensive user navigation data is collected and stored, then analysis accuracy is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary processing of navigation events as they occur, organizing data into structured formats and identifying patterns in real-time or near-real-time. User sequences are logged and pre-processed during the navigation session itself, reducing the computational burden during subsequent analysis phases.
Solution Approach 2:
The patent creates simplified representations or copies of complex user navigation patterns through visual maps and graphs. These visual copies condense extensive navigation data into intuitive graphical displays that preserve essential pattern information while enabling rapid analysis without processing the full raw datasets.
3Loss of information
If the system tracks all user navigation events including recurring patterns, then completeness of user experience mapping is improved, but difficulty of detecting and measuring patterns increases
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor navigation events and adjust pattern recognition criteria based on observed user behavior. The visual mapping system provides feedback by displaying detected patterns and allowing refinement of pattern identification algorithms to better capture recurring navigation behaviors.
Solution Approach 2:
The patent employs visual differentiation techniques where different patterns, frequencies, and types of navigation events are represented through distinct visual characteristics including color coding, line styles, and graphical markers. This enables easy detection and measurement of recurring patterns through visual inspection of the generated maps.
4Ease of operation
If detailed visual representations of navigation patterns are generated, then ease of operation for analysis is improved, but device complexity increases
Solution Approach 1:
The system creates simplified visual copies or representations of complex navigation data through directed graphs and path visualizations. These visual maps serve as abstracted models that preserve essential user behavior patterns while presenting them in an easily interpretable graphical format that requires minimal expertise to analyze.
Solution Approach 2:
The patent transforms one-dimensional navigation data (sequences of page visits) into two-dimensional visual representations (graphs and maps) that display multiple navigation paths and patterns simultaneously. This dimensional transformation enables comprehensive analysis of user behavior patterns in a single visual overview rather than requiring sequential examination of raw data.
Data Source
AI summary
In accordance with one or more embodiments of the present disclosure, systems and methods for mapping user experiences over a network include tracking user navigation events through a network site of a resource provider, identifying recurring navigation events of the user, and generating a map of the user navigation events and the recurring navigation events as a user experience. The systems and methods for mapping user experiences, as disclosed herein, provide improved analysis of network site usage patterns for purposes of streamlining and optimizing network site operation.