Dynamic-Transparency Chart Overlay for Data Pattern Identification

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Solution Overview

Problem

Conventional data visualization techniques require users to visually translate data between multiple charts, leading to difficulties in identifying patterns due to different data scales, which increases cognitive load and error rates.

Innovation Solution

Implementing dynamic-transparency chart overlays via a graphical user interface, allowing users to control transparency and normalize data for easier comparison, using a method that includes displaying a graphical user interface, receiving overlay requests, converting data into structured sets, and generating multidimensional overlay charts with adjustable opacity levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If conventional data visualization techniques are used to display multiple separate charts, then data can be presented in organized formats, but users must visually translate data spatially between charts which increases cognitive load and makes pattern identification difficult

Engineering Contradiction:

Improvedata pattern identificationVSAvoidvisual translation effort

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent combines multiple separate charts into a single overlay chart where multiple data series are displayed simultaneously on the same coordinate system. This merging eliminates the need for users to visually translate data between separate charts, directly reducing cognitive load and improving pattern identification while maintaining data organization.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces transparency as an additional visual dimension to differentiate data series within the overlay chart. By varying transparency levels of different data series, users can easily distinguish between multiple datasets without needing to spatially translate between separate charts, thereby reducing visual translation effort while preserving information.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If multiple separate charts with different data scales are used, then diverse data can be visualized, but the cognitive load on short-term memory increases due to spatial visual translation across different scales

Engineering Contradiction:

Improvedata scale accommodationVSAvoidcognitive load

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent normalizes all data series to a common coordinate system with unified axes and scale, creating an equipotential visual environment. This eliminates the cognitive burden of mentally translating between different data scales while still accommodating diverse data types through the overlay mechanism, thereby reducing cognitive load without sacrificing adaptability.

Inventive Principle:

Principle #12Equipotentiality

Solution Approach 2:

The patent changes the visual parameter of transparency for different data series within the normalized overlay chart. This allows diverse data to be distinguished through transparency variations rather than requiring separate charts with different scales, reducing cognitive load while maintaining versatility in data representation.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If conventional separate chart visualization is used, then data organization is maintained, but visual correlations to identify data patterns across charts are difficult and error prone

Engineering Contradiction:

Improvepattern identification accuracyVSAvoidvisual correlation difficulty

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent merges multiple data series into a single overlay chart with shared coordinates and axes, enabling direct visual correlation between different datasets. This eliminates the errors associated with manual spatial translation between separate charts while maintaining data organization through systematic overlay positioning, thereby improving pattern identification accuracy.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent uses different transparency levels and visual properties to differentiate data series within the overlay chart. This visual differentiation makes it easier to trace and correlate patterns across different datasets without the errors associated with spatial translation, improving both visual correlation ease and pattern identification reliability.

Inventive Principle:

Principle #32Color changes

Data Source

PatentUS11798207B2Method and system to overlay charts

Publication Date: 2023.10.24 JPMORGAN CHASE BANK NA

AI summary

A method for facilitating dynamic-transparency chart overlays via a graphical user interface is provided. The method includes displaying, via a client device, the graphical user interface, the graphical user interface including a graphical element to receive an input; receiving, via the graphical user interface, a request relating to an overlay request that corresponds to a visualization of a chart; retrieving data corresponding to the chart; converting the data into a structured data set based on a parameter; generating an overlay chart based on the structured data set, the overlay chart corresponding to a superimposition of the chart; and displaying, via the client device, the overlay chart on the graphical user interface in response to the request.