Activity Trend Interface Segmentation and Orientation Adaptation
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Solution Overview
Problem
Existing techniques for presenting activity trends and managing workouts on electronic devices are cumbersome and inefficient, requiring complex user interfaces that consume time and device energy, particularly in battery-operated devices.
Innovation Solution
The development of faster and more efficient methods and interfaces for presenting activity trends and managing workouts, which include determining the type of relationship between activity data metrics to display representations in appropriate portions of the user interface, conserving power and reducing cognitive burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing techniques are used to present activity trends and manage workouts, then the user interface can display comprehensive activity data, but the interface becomes complex and time-consuming requiring multiple key presses or keystrokes
Solution Approach 1:
The patent segments the user interface into distinct portions, each dedicated to specific activity metrics or time periods. This allows comprehensive activity data to be organized into manageable sections, reducing the cognitive load and navigation complexity while maintaining complete information display.
Solution Approach 2:
The patent introduces a temporal dimension to the user interface by automatically selecting and displaying different time periods (e.g., weekly, monthly, yearly views) based on the device's orientation or context. This dimensional approach allows comprehensive data presentation without requiring users to manually navigate through multiple screens or settings.
2Loss of time
If existing techniques are used to present activity trends, then activity data can be displayed, but more time is consumed and device energy is wasted
Solution Approach 1:
The patent performs preliminary actions by automatically determining and displaying the most relevant activity data and time periods before the user requests them. The system pre-processes activity data and prepares optimized views based on device state, eliminating the need for users to manually configure display parameters and reducing time consumption.
Solution Approach 2:
The patent implements dynamic adaptability where the user interface automatically adjusts its content and layout based on real-time device orientation, available screen space, and user context. This dynamic behavior allows the system to present comprehensive activity data efficiently without requiring users to manually adjust settings, thereby improving productivity while minimizing time loss.
3Use of energy by stationary object
If existing techniques are used for presenting activity trends, then activity data can be viewed, but device energy is consumed particularly in battery-operated devices
Solution Approach 1:
The patent applies local quality by selectively updating and displaying only the most relevant activity metrics and time periods based on device orientation and user context. Instead of continuously refreshing all activity data, the system optimizes energy consumption by locally adapting the display content to show only necessary information, thereby reducing overall energy usage while maintaining ease of operation.
4Loss of energy
If a simple user interface is used, then time and energy are conserved, but the interface may not effectively present activity trends and relationships
Solution Approach 1:
The patent resolves this contradiction by introducing temporal and spatial dimensions to the display. The system automatically selects appropriate time periods and organizes activity data across different portions of the interface based on device orientation, thereby presenting comprehensive activity trends in an energy-efficient manner without requiring complex user navigation or manual configuration.
Data Source
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AI summary
The present disclosure generally relates to computer user interfaces, and more specifically to techniques for presenting activity trends and managing workouts.