Interactive Data Visualization Interface With Multiple Interaction Profiles
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Solution Overview
Problem
Existing data visualization tools face challenges in efficiently manipulating large datasets on portable devices with smaller screens and limited input methods, leading to complex user interfaces that increase cognitive burden and reduce user satisfaction.
Innovation Solution
The implementation of multiple interaction profiles (such as category world, time world, and geography world) that allow users to select different data visualization interfaces based on specific analytic questions, with automatic selection of data fields and visualization characteristics, and touch-sensitive gestures for intuitive data manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional data visualization interfaces are used on portable devices, then data can be visualized, but the interface complexity increases and cognitive burden increases due to limited screen size and input methods
Solution Approach 1:
The patent segments the data visualization interface into multiple interactive panels (e.g., data selection panel, visualization configuration panel, results panel) that can be independently manipulated. Each panel handles specific tasks, reducing the cognitive load of dealing with a monolithic complex interface on portable devices.
Solution Approach 2:
The patent introduces gesture-based interactions that operate in a spatial dimension beyond traditional touch inputs. By mapping data manipulation operations to swipe gestures, pinches, and rotations, the system transforms 2D screen interactions into more intuitive spatial operations that reduce perceived interface complexity.
2Adaptability or versatility
If more manual controls are provided for data field selection and visualization configuration, then user customization increases, but the time required for data manipulation increases
Solution Approach 1:
The system performs preliminary actions by automatically selecting appropriate data fields and visualization types based on the detected interaction profile and data characteristics. This preliminary automation reduces the time users need to spend on manual configuration while preserving adaptability through subsequent customization options.
Solution Approach 2:
The data visualization system provides self-service by automatically configuring visualizations based on the selected interaction profile and data structure. The system autonomously selects fields, determines appropriate chart types, and adjusts parameters, allowing users to obtain customized visualizations without extensive manual intervention.
3Productivity
If conventional touch-sensitive surface interactions are used, then basic data visualization is possible, but the efficiency of data manipulation decreases due to smaller screen real estate
Solution Approach 1:
The patent extends the interaction space by introducing gesture-based controls that utilize motion and temporal dimensions beyond static touch points. Swipes, pinches, and rotations allow users to manipulate data fields and visualization parameters efficiently despite limited screen area, as gestures can traverse and access multiple elements without requiring extensive screen real estate.
Solution Approach 2:
The interaction profile system provides multi-functionality where a single gesture framework handles diverse data manipulation tasks including field selection, filtering, aggregation, and visualization configuration. This universal gesture interface increases productivity by eliminating the need for multiple specialized controls that would consume valuable screen space.
Data Source
AI summary
A user selects a dataset and a first interaction profile. There are multiple interaction profiles, each specifying a corresponding user interface and a corresponding decision tree for forming data visualizations according to user-selected data fields. A first data visualization user interface is displayed corresponding to the first interaction profile. Using the first data visualization user interface, the user selects data fields from the dataset and uses them to specify data visualization characteristics. The method displays a first data visualization according to the user-selected data fields and the decision tree for the first interaction profile. When the user selects a second interaction profile, the method displays a second data visualization according to the second interaction profile. The second data visualization uses at least some of the user-selected data fields. The second data visualization is displayed according to the specified data visualization characteristics and the decision tree for the second interaction profile.