Interactive Fertility Estimation Interface with Dynamic Cursor
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Solution Overview
Problem
Current methods for estimating fertility and tracking menstrual cycle information are not efficient or user-friendly, lacking the ability to provide day-to-day granularity in fertility prediction, which is crucial for effective family planning.
Innovation Solution
A method and interface that utilizes a graphical user interface on a client device, allowing users to select dates within a menstrual cycle range, dynamically updating fertility estimates as an interactive cursor is moved, based on pre-defined fertility stages and user input, using a fertility table for accurate fertility assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional menstrual tracking methods are used, then the system is simple to implement, but the fertility estimation lacks day-to-day granularity and accuracy
Solution Approach 1:
The menstrual cycle is segmented into distinct phases (menstrual phase, follicular phase, ovulation, luteal phase) with each phase having specific fertility characteristics. The interface divides the cycle into day-by-day granularity, allowing users to view fertility estimates for individual days rather than broad periods, thereby achieving precise day-to-day fertility tracking.
Solution Approach 2:
The system pre-calculates and stores fertility estimates for each day of the menstrual cycle based on established physiological models before user interaction. When the user opens the application, the fertility calendar is already populated with predictions, eliminating the need for complex real-time calculations during user sessions and reducing perceived system complexity.
2Productivity
If real-time fertility updates are provided for each day selection, then user satisfaction and effectiveness increase, but the computational load and response time requirements increase
Solution Approach 1:
Fertility estimates for all days of the menstrual cycle are pre-calculated using physiological models and stored in the application. When a user selects a specific day, the system simply retrieves the pre-computed value rather than performing new calculations, significantly reducing energy consumption while maintaining real-time responsiveness.
Solution Approach 2:
The system uses simplified fertility prediction models that replicate established medical algorithms in a computationally efficient manner. These copied models provide accurate enough estimates for family planning purposes while requiring minimal processing power compared to running full physiological simulations in real-time.
3Ease of operation
If an interactive graphical interface with cursor manipulation is implemented, then ease of operation and user friendliness improve, but the interface complexity and development effort increase
Solution Approach 1:
The graphical interface automatically updates fertility information as the user drags the cursor across different days, without requiring additional button presses or confirmation actions. The system serves itself by detecting cursor position changes and immediately refreshing the display, making the interface feel responsive and easy to use while minimizing the number of interactive elements the user must understand.
Solution Approach 2:
The cursor acts as an intermediary between the user and the fertility data. Instead of requiring users to click through multiple menus or input fields, the cursor provides a intuitive visual indicator that moves across the calendar, with fertility information automatically following the cursor position. This intermediary element simplifies the interaction model while enabling rich information display.
Data Source
AI summary
A user-defined range of dates is displayed within a first region, and an interactive cursor is displayed at a first location within the first region, the first location corresponding to a first date within the range of dates. Based at least in part on the first date, a first estimated fertility is determined and displayed in a second region of the display area. A user input is detected at a second location distinct from the first location, the user input corresponding to a user selection of a second date in the range of dates distinct from the first date. In response, the interactive cursor is dynamically moved from the first location to the second location. Based at least in part on the second date, a second estimated fertility is determined, and the first estimated fertility in the second region is replaced with the second estimated fertility.