Data Review Interface with Timeline Playback for Event Analysis
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Solution Overview
Problem
Existing data reviewing applications lack intuitive and universal playback functionality, making it difficult for users to efficiently review historical data, especially in scenarios like live streaming where users need to analyze specific moments or trends over time.
Innovation Solution
A method and apparatus for data reviewing that includes a first page element for locating a point of time in a timeline corresponding to an event, and multiple second page elements for presenting various types of analysis data. Upon interaction with the first page element, the respective analysis data collected at that point of time is presented in the second page elements, enabling dynamic data playback and global historical backtracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional data reviewing methods are used, then data can be accessed, but the operation is complex and not intuitive
Solution Approach 1:
The data reviewing interface is segmented into distinct functional modules: a timeline component for time selection, multiple data display regions for different analysis dimensions, and control elements. This segmentation allows users to interact with specific time points independently while maintaining a clear, organized interface structure that reduces operational complexity.
Solution Approach 2:
The patent introduces a temporal dimension through the timeline interface, allowing users to navigate and select specific time points in events. This adds a time-based dimension to data reviewing, transforming static data access into dynamic temporal exploration, making the system more intuitive for analyzing event evolution over time.
2Loss of information
If comprehensive analysis data is presented, then data completeness is improved, but the interface becomes less intuitive
Solution Approach 1:
Comprehensive analysis data is segmented into multiple independent display regions, each showing a specific analysis dimension (e.g., traffic sources, user behavior, conversion metrics). This allows complete data presentation while maintaining interface intuitiveness through organized, modular layout that prevents information overload.
Solution Approach 2:
The data display system is designed with universal multi-functionality, where the same interface framework and display regions can present different types of analysis data depending on user selection and event context. This enables comprehensive data coverage across multiple dimensions while maintaining a consistent, intuitive interface paradigm.
3Adaptability or versatility
If historical data playback is enabled, then data review capability is improved, but the system requires more complex functionality
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing event data into time-stamped records suitable for playback. The timeline is pre-configured with selectable time points, and data is structured in advance to enable efficient retrieval and display during user interaction, reducing the complexity of real-time processing.
Solution Approach 2:
The implementation uses copying by creating a temporal copy or representation of event data through the timeline interface. Instead of complex real-time processing, the system copies historical data states to the display at selected time points, enabling intuitive historical playback with simplified system requirements.
Data Source
AI summary
Embodiments of the disclosure provide a solution for data reviewing. A method includes: presenting, in a data page, a first page element for locating a point of time in a timeline corresponding to an event; presenting, in the data page, a plurality of second page elements for presenting a plurality types of analysis data associated with the event; and in response to an interaction on the first page element to locate a first point of time in the timeline, presenting, in the plurality of second page elements, respective types of analysis data collected at the first point of time.