Graphical User Interface for TV Viewership Data Visualization
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Solution Overview
Problem
Current graphical tools lack the ability to intuitively and efficiently process large amounts of television viewership data, making it difficult for companies to generate effective electronic content schedules that reach their target audience.
Innovation Solution
A graphical user interface (GUI) is developed to display key performance indicators (KPIs) associated with TV viewership data, allowing users to filter and visualize data based on content and audience attributes through various interactive charts, such as polar area diagrams and multilevel pie charts, enabling users to configure and compare advertisement campaigns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data processing methods are used to handle TV viewership data, then data processing capability is maintained, but data processing efficiency deteriorates due to the large volume of data
Solution Approach 1:
The patent replaces traditional mechanical data processing methods with a graphical visualization system that transforms numerical viewership data into visual representations (bars, lines, markers). This substitution allows planners to process and understand large volumes of TV viewership data more efficiently by leveraging human visual processing capabilities rather than manual or basic computational analysis.
2Reliability
If detailed TV viewership data is analyzed to improve campaign effectiveness, then ad placement effectiveness is improved, but analysis complexity increases
Solution Approach 1:
The patent segments the complex TV viewership data into multiple visual dimensions including time-based segments (dayparts, dates), content-based segments (programs, networks), and performance metric segments (reach, frequency, GRPs). Each segment is represented through distinct visual elements that can be independently analyzed, reducing the overall analysis complexity while maintaining comprehensive campaign effectiveness evaluation.
Solution Approach 2:
The patent transforms one-dimensional numerical data into multi-dimensional visual representations by adding spatial dimensions (position, size, color) to represent different data attributes. For example, bar length represents one metric while color coding represents another, allowing planners to analyze multiple dimensions of ad placement effectiveness simultaneously without increasing analytical complexity.
3Loss of information
If comprehensive KPIs are displayed to improve decision-making, then information completeness is improved, but information processing difficulty increases
Solution Approach 1:
The patent uses color coding to represent different KPI metrics and data categories within the visualization. Each key performance indicator (reach, frequency, GRPs) is associated with specific color schemes, allowing planners to quickly distinguish and process multiple pieces of information simultaneously. This visual encoding reduces the cognitive load of processing comprehensive KPI data while maintaining full information completeness.
Solution Approach 2:
The patent encodes multiple KPI dimensions into visual properties such as bar height, line position, marker size, and color intensity. This dimensional transformation allows comprehensive information to be presented in a format that leverages human visual processing strengths, making it easier to detect and measure multiple metrics simultaneously without increasing processing difficulty.
Data Source
AI summary
Method, system, and computer-readable storage medium embodiments are provided for graphically displaying one or more key performance indicators (KPIs) associated with television (TV) viewership data. In some embodiments, a method operates at an electronic device with a display. The method operates by receiving a selected content from a user. Then, a chart is configured to display the one or more KPIs computed based on the TV viewership data. While displaying the chart, the method operates by receiving a selection of a user-selectable graphical element in the chart. In responding to the selection of the user-selectable graphical element, the chart is reconfigured to display the one or more KPIs based on the selection.