Touchscreen Input Path Deviation for User Decision Correlation
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Solution Overview
Problem
Current systems lack effective methods to track and analyze user input on mobile computing devices to determine correlations between user interactions and responses, particularly in decision-making processes.
Innovation Solution
A method involving a mobile computing device that displays graphical elements and a user interactable element, where user input is tracked to calculate the deviation from a target path, and based on this deviation, data is stored indicating a correlation between the user and a specific response, allowing for the determination of user affinity or conviction towards particular responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user input tracking is implemented to analyze decision-making processes, then measurement precision of user correlation is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical tracking systems with a simplified touchscreen-based interaction model. Instead of using cameras, sensors, or complex motion capture systems, the invention uses standard touchscreen touchpoint data to track user interaction paths, thereby achieving measurement precision without the device complexity of hardware-based tracking systems.
Solution Approach 2:
The patent extracts only the essential information from user input (touch coordinates and path) to determine correlation with responses, rather than processing complete interaction data. This selective extraction approach maintains measurement precision for the specific task of conflict measurement while reducing processing complexity and computational requirements.
2Measurement precision
If path deviation calculation is performed to determine user correlation, then measurement precision of conflict detection is improved, but loss of time increases
Solution Approach 1:
The patent calculates only the maximum deviation point on the user path rather than computing complete path metrics or analyzing every intermediate coordinate. This partial action approach (focusing only on maximum deviation) maintains sufficient measurement precision for conflict detection while significantly reducing processing time compared to comprehensive path analysis.
Solution Approach 2:
The patent skips intermediate calculation steps by directly comparing path deviation to threshold values rather than performing progressive analysis. This rushing through of the calculation process (using direct threshold comparison) enables rapid conflict detection while maintaining the precision needed for accurate user correlation determination.
3Ease of operation
If graphical elements and interaction tracking are displayed, then ease of operation for user input is improved, but loss of information about interaction paths is increased
Solution Approach 1:
The patent extracts only the essential path deviation information from complete interaction data for analysis, while displaying simplified graphical representations of user interaction. This extraction approach maintains ease of operation through clear visual feedback while preserving necessary information about interaction paths through coordinated tracking and display mechanisms.
Data Source
AI summary
Methods and systems for input tracing on a mobile computing device, and specifically, input tracing of user provided touch input at a touchscreen display of a mobile computing device. The user input can be tracked to determine an actual path between a user interactable element and a graphical element. The actual path can be compared to a target path, and based on the deviation between the two, store data indicating a correlation between the user and an appropriate response associated with a graphical element (e.g., a degree of conviction/affinity between the user and the appropriate response associated with the graphical element).