Dynamic Data Line Display with Adjustable Movement Speeds
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Solution Overview
Problem
Existing systems for displaying multiple data lines simultaneously struggle to efficiently convey complex information and allow for easy comparison, often requiring significant user interaction and complex database loading, especially when dealing with large datasets.
Innovation Solution
A system that generates and displays multiple data lines on a screen, with adjustable movement speeds based on dataset criteria, allowing for simultaneous display and comparison of data lines, and includes highlighting features to draw attention to significant data points, enabling quick identification of trends and actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple data lines are displayed simultaneously to increase information density, then the quantity of information displayed increases, but the device complexity and difficulty of detecting and measuring trends increases
Solution Approach 1:
The system segments information into multiple horizontal data lines, each containing multiple data sets. This segmentation allows complex information to be divided into manageable, visually separated units that can be scanned efficiently, reducing the perceived complexity while maintaining high information density.
Solution Approach 2:
Different data lines are assigned different visual properties (colors, movement speeds) based on their content type and importance. This local differentiation helps users quickly identify and focus on specific trends without being overwhelmed by the entire dataset, making trend detection easier despite the complexity of multiple data lines.
2Productivity
If data sets move across the screen to provide current information without user interaction, then productivity increases, but the speed of movement must be optimized to avoid loss of time for detecting trends
Solution Approach 1:
The system implements dynamic movement speeds for different data lines based on their content type and importance. Critical data lines move slower to allow adequate observation time, while less critical data move faster. This dynamic adjustment optimizes both productivity (continuous information flow) and trend detection time (adequate observation period).
Solution Approach 2:
Data sets move across the screen in periodic cycles, allowing users to observe complete data sets as they pass through the viewing area. This periodic movement pattern ensures that important trends are not missed while maintaining continuous information updates, balancing productivity with adequate detection time.
3Ease of operation
If data lines are displayed side by side or one below the other to enable comparison, then the ease of operation for comparing data improves, but the area required for display increases
Solution Approach 1:
The system utilizes the horizontal dimension by moving data sets across the screen, allowing multiple data lines to be displayed vertically within the available screen area. This dimensional approach enables comparison of multiple data lines without requiring excessive vertical or horizontal space, maintaining ease of comparison while optimizing display area utilization.
Data Source
AI summary
A system for providing information to a user includes a screen for showing the information to the user, a receiver for receiving one or more values from a source of values on which values the information shown to the user is based, a generator for generating two or more data lines wherein each of said data lines comprises at least one data set, wherein the data sets comprise data which are based on said values and wherein the data sets are assigned to at least two data lines by predetermined or changeable criteria, a displayer for simultaneously showing said two or more data lines to the user on said screen, and a mover for moving at least one of said data lines on the screen, wherein the mover comprises an adjuster for adjusting a speed of the movement of the at least one data line depending on a criterion relating to the at least one data set comprised in the data line.