Network Navigation Event Mapping for User Experience Analysis

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Solution Overview

Problem

It is challenging to analyze and visualize the impact of navigational changes on user experiences in online environments, particularly due to the difficulty in tracking and interpreting large amounts of data generated by adding or deleting pages, which hinders efficient website optimization.

Innovation Solution

A system and method for mapping user experiences over a network by generating directed graphs of network diagrams that track and visualize user navigation events, allowing for the comparison of path data before and after changes, thereby facilitating the identification and display of changes in user navigation patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If detailed tracking of user navigation events is implemented, then measurement precision of user experiences is improved, but device complexity and data processing requirements increase

Engineering Contradiction:
Improvemeasurement precisionVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts and isolates only the critical navigation events and path changes from the complete user interaction data. By focusing on identifying and tracking specific change points in navigation paths rather than recording every single user action, the system achieves precise measurement of navigation pattern changes while reducing the complexity of data processing and storage requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the continuous stream of user navigation data into discrete navigation events and path sequences. By dividing the complex navigation behavior into identifiable segments (individual navigation events, sequences of events, and path changes), the system can analyze each segment independently, improving measurement precision while managing data complexity through structured organization.

Inventive Principle:
Principle #1Segmentation

2Loss of information

If complete navigation path data is collected and stored, then information completeness is improved, but loss of time for data processing increases

Engineering Contradiction:
Improveinformation completenessVSAvoidloss of time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent performs preliminary processing of navigation data by identifying and marking path changes as they occur during user navigation. By pre-identifying and storing only the changed portions of navigation paths rather than waiting to process complete datasets, the system maintains information completeness about navigation pattern changes while significantly reducing the time required for subsequent data analysis and processing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent extracts and stores only the essential navigation path change information from complete navigation data. By taking out and storing specifically the changed path segments and relevant navigation events rather than all raw navigation data, the system preserves the necessary information for analysis while minimizing data volume and processing time requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS8032591B2Systems and methods for mapping event changes in network navigation
Publication Date: 2011.10.04 PAYPAL INC
  • US8032591B2 patent drawing
  • US8032591B2 patent drawing
  • US8032591B2 patent drawing

AI summary

In accordance with one or more embodiments of the present disclosure, systems and methods for mapping user experiences over a network include obtaining path data related to a first sequence of user navigation events, obtaining path data related to a second sequence of user navigation events that is at least different than the first sequence of user navigation events, comparing path data of the first and second sequences of user navigation events, identifying changes to the path data, and generating a map of the user navigation events based on the identified changes to the path data.