Adaptive Timeline Views with Dynamic Time Scale Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional time-based data representations, such as timelines and calendars, become insufficient in conveying detailed information as the volume and complexity of data interactions increase, especially with the proliferation of diverse data transactions and relationships.
Innovation Solution
Adaptive timeline views using logarithmic time scales that allow users to modify and animate the time window and scale, providing increased display space around current time and conveying additional information through motion and animation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional time-based representations (timelines, calendars) are used to display data, then users can view data using familiar date/time representations, but the representations provide insufficient detail to allow meaningful interactions with large volumes of data
Solution Approach 1:
The patent implements a dynamic time scale adjustment mechanism that allows users to interactively modify the time window and time scale of the timeline view. Users can zoom in and out, pan across different time periods, and adjust the visualization parameters to reveal detailed information about specific time intervals while maintaining an overview of the entire dataset. This dynamic adjustment resolves the contradiction by enabling both familiar time-based navigation and detailed data examination.
Solution Approach 2:
The patent changes the time scale parameter from a fixed traditional calendar view to an adjustable logarithmic or linear time scale. By allowing users to modify the time scale parameter and time window parameters, the system can adapt the level of detail displayed. This parameter adjustment enables users to switch between high-level overview and detailed view modes, resolving the contradiction between ease of operation and measurement precision.
2Quantity of substance
If the time window is expanded to show more data, then users can view more data transactions, but the detail and relevance of individual data points is reduced
Solution Approach 1:
The system dynamically adjusts the time window and time scale parameters to balance the quantity of data displayed with the detail of individual points. Users can interactively modify the time window to expand or contract the visible data range, and the system automatically adjusts the time scale to maintain appropriate detail levels. This dynamic adaptation allows users to view large volumes of data while preserving the ability to examine individual data points in detail.
Solution Approach 2:
The patent segments the time period into manageable intervals and allows users to navigate through these segments using interactive controls. The timeline can be divided into multiple time windows that can be independently adjusted, enabling users to view large datasets in manageable portions while maintaining detail. This segmentation approach resolves the contradiction by allowing comprehensive data viewing without sacrificing individual data point detail.
3Ease of operation
If animations are added to distinguish software packages and enhance user experience, then user engagement is improved, but the functionality and usefulness of the software is not enhanced
Solution Approach 1:
The patent incorporates animations that provide feedback to users about data relationships and temporal patterns. When users interact with the timeline (zooming, panning, selecting time periods), the system provides animated feedback showing how data points move, connect, or transform. This feedback mechanism enhances user engagement and understanding without adding unnecessary visual clutter, as the animations directly reflect functional operations and data relationships.
Solution Approach 2:
The system uses parameter changes in animations to convey functional information about data transformations and relationships. By animating changes in time scale, time window, and data point positions, the system provides both user engagement and functional insight. The animations are designed to reflect actual data processing operations, ensuring that entertainment value is achieved through meaningful functional visualizations rather than purely decorative elements.
Data Source
AI summary
Concepts and technologies are described herein for providing adaptive timeline views of data. In accordance with the concepts and technologies disclosed herein, data is displayed in an adaptive timeline view in which data is presented using a time scale. The time scale can be modified to increase or decrease a span of time displayed by the adaptive timeline view, or a span of time can be shifted without affecting the time scale applied to the data. Motion can be used to convey information about the data during transitions from a first view to a modified view. As such, the adaptive timeline view can convey various layers of information to a user interacting with the adaptive timeline view.