Survey Data Visualization Interface with Interactive Correlation Mapping

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Solution Overview

Problem

Existing data visualization models for survey data are often time-consuming, difficult to understand, and limited in interaction, making it challenging to effectively explore and visualize the interrelationships between survey data.

Innovation Solution

A computer-implemented method that presents user interfaces with a three-part layout (question-fuel-balloon) for visualizing survey data, allowing users to easily move and filter survey questions, visualize percentages, and display correlations, enabling real-time analysis and interactive exploration of survey data sets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional data visualization models are used for survey data, then data can be displayed, but the visualization is time-consuming and hard to understand

Engineering Contradiction:
Improvedata understanding accuracyVSAvoidvisualization time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The visualization system divides survey data into distinct modular components including question objects, answer option objects, and relationship objects. Each component can be independently manipulated and visualized, allowing users to build complex visualizations from simple building blocks rather than processing entire datasets at once, thereby reducing time while maintaining accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system pre-calculates and stores relationship metrics (such as correlation coefficients, co-occurrence frequencies, and statistical associations) between survey elements before visualization. When users request visualizations, these pre-computed relationships are immediately displayed without requiring real-time calculation, significantly reducing visualization time while preserving measurement precision.

Inventive Principle:
Principle #10Preliminary action

2Ease of operation

If traditional data visualization models are used, then data can be presented, but interaction is limited

Engineering Contradiction:
Improveinteraction capabilityVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The visualization system transforms static data displays into dynamic, interactive elements. Question objects and answer option objects can be dragged, dropped, filtered, and reconfigured in real-time. Users can dynamically add filters, adjust relationship thresholds, and reorganize visualizations without programmatic intervention, greatly enhancing interaction capability while the underlying system manages complexity automatically.

Inventive Principle:
Principle #15Dynamics

3Loss of information

If comprehensive survey data analysis is performed, then interrelationships can be explored, but the process becomes complex and difficult to understand

Engineering Contradiction:
Improveinterrelationship informationVSAvoidanalysis complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system uses color-coded visual indicators to represent different types and strengths of relationships between survey elements. Relationship objects are displayed with varying colors and intensities that encode statistical significance, correlation strength, and relationship types. This visual encoding allows users to immediately grasp complex interrelationships without requiring deep statistical knowledge, preserving information while reducing perceived complexity.

Inventive Principle:
Principle #32Color changes

Solution Approach 2:

The system introduces relationship objects as intermediary elements that mediate between question objects and answer option objects. These relationship objects serve as visual containers that encapsulate complex statistical analyses and present them in simplified forms. Users interact with these intermediaries to explore relationships rather than directly analyzing raw data, making complex interrelationships more understandable while preserving complete information.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10068029B2Visualizing relationships in survey data
Publication Date: 2018.09.04 BUSINESS OBJECTS SOFTWARE
  • US10068029B2 patent drawing
  • US10068029B2 patent drawing
  • US10068029B2 patent drawing

AI summary

Some examples of visualizing relationships between survey data can be implemented by displaying a user interface including a survey question region and a percentage region. In response to detecting a selection of a survey data set, multiple question objects are displayed in the survey question region. Each question object represents a survey question and an answer option for the survey question. In response to inputs to interact with the multiple question objects, survey results such as a percentage of selections of a first answer option to a first survey question represented by a first question object can be determined and displayed in the user interface. Also, interrelationships between answers to survey questions can be displayed by positioning question objects at different locations in the user interface. In response to a selection of a question object, other question objects can be presented according to the correlation with the selected question object.