Health Data Graph Interfaces with Location-Based Controls
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Solution Overview
Problem
Existing techniques for managing health data on electronic devices are cumbersome and inefficient, requiring multiple key presses and wasting user time and device energy, particularly in battery-operated devices.
Innovation Solution
Implementing faster and more efficient methods and interfaces for managing health data, including displaying graphical representations of data sets and detecting inputs to dynamically display user interface objects based on input locations, reducing the need for redundant user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing techniques are used to manage health data, then data can be displayed and managed, but the user interface is complex and time-consuming requiring multiple key presses
Solution Approach 1:
The system pre-configures multiple data visualization layouts and templates before the user needs to view health data. When a user selects a data set, the system can immediately present pre-prepared visual representations rather than requiring the user to manually configure display parameters, thereby reducing interaction time and simplifying operation.
Solution Approach 2:
The user interface dynamically adapts its complexity based on the user's needs and the data being viewed. The system can automatically adjust display parameters, select appropriate visualizations, and modify interface elements based on the data set and user profile, transforming a static complex interface into a dynamic adaptive one that simplifies operation without sacrificing functionality.
2Productivity
If existing techniques are used to manage health data, then data can be accessed, but device energy is wasted due to redundant user interactions
Solution Approach 1:
The system performs self-service by automatically detecting user intentions, selecting appropriate data visualizations, and configuring display parameters without requiring multiple manual inputs. The system monitors user interactions and automatically adjusts the interface to reduce redundant actions, thereby improving productivity while conserving device energy by minimizing processing cycles associated with repeated user-input-response loops.
Solution Approach 2:
The system implements intelligent feedback mechanisms that detect user preferences and adapt the interface accordingly. By analyzing user behavior patterns and feedback, the system optimizes its responses to reduce unnecessary processing and interactions, thereby improving data management efficiency while reducing energy consumption from redundant computational cycles.
3Adaptability or versatility
If a complex user interface is used for health data management, then comprehensive data control is achieved, but cognitive burden on the user increases
Solution Approach 1:
The user interface is segmented into modular components, each handling specific data visualization or control functions. This segmentation allows the system to present comprehensive data control capabilities through organized, digestible interface elements rather than a monolithic complex structure, reducing cognitive burden while maintaining adaptability and versatility through modular reconfiguration.
Solution Approach 2:
The interface employs universal components that can serve multiple functions depending on the data set and user needs. A single interface element can adapt to display different types of health data, perform various analysis functions, and provide different levels of detail, thereby achieving comprehensive data control capability without requiring separate specialized interfaces for each function, thus reducing cognitive burden.
Data Source
AI summary
The present disclosure generally relates to managing health data for a patient. In some embodiments, the disclosed techniques include displaying graphical representations of data including a first graph corresponding to a first data set and a second graph corresponding to a second data set. An input directed to the first graph is detected, and in response, a plurality of user interface objects are displayed, including a first user interface object or a second user interface object. The first user interface object is associated with the first graph and based on a first variable that is selected based on a location of the input, and the second user interface object is associated with the second graph and based on a second variable that is selected based on the location of the first input. In some embodiments, the health data is sleep-related data, including data on mid-sleep awakenings.


