Click Speed Analysis for User Engagement Detection
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Solution Overview
Problem
Users may not be actively engaged with software applications, particularly in treatments prescribed by medical professionals for conditions like insomnia or smoking cessation, as they may click through prompts without proper attention or engagement, leading to inaccurate adherence and treatment efficacy.
Innovation Solution
A computer system assesses click speed values and deviation thresholds to determine user engagement, deploying alerts and messages to encourage active interaction, using algorithms to personalize compliance remediation techniques based on user demographics and click speed patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users interact with software application without due care and adequate engagement, then user convenience and ease of operation are improved, but measurement precision of user engagement and treatment efficacy deteriorates
Solution Approach 1:
The system implements continuous monitoring of click speed metrics and provides feedback to both users and clinicians. By tracking click speed values against established thresholds, the system generates alerts when engagement quality deteriorates, enabling real-time correction of passive interaction patterns while maintaining ease of operation.
Solution Approach 2:
The patent replaces subjective assessment of user engagement with objective computational analysis of click speed metrics. Instead of relying on user self-reporting or clinician observation, the system uses algorithmic processing of interaction timing data to automatically detect and measure engagement quality, significantly improving measurement precision.
2Productivity
If users click through prompts too quickly without proper attention, then productivity and speed of interaction are improved, but measurement precision of adherence and treatment efficacy deteriorates
Solution Approach 1:
The system establishes threshold parameters for click speed that define acceptable ranges for both efficient and engaged interaction. By monitoring whether click speed falls within, below, or above these thresholds, the system can distinguish between productive fast interaction and perfunctory rapid clicking, maintaining both productivity and measurement precision.
3Measurement precision
If the system monitors and alerts users about their click speed behavior, then measurement precision of user engagement is improved, but device complexity increases
Solution Approach 1:
The system performs self-calibration by establishing baseline click speed thresholds based on individual user patterns over time. This automated adaptation eliminates the need for manual configuration or complex setup procedures, achieving high measurement precision while keeping the user interface simple and the system easy to deploy.
Data Source
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AI summary
A computer system for assessing click speed values and deviation thresholds in a remote computing environment comprising processor, computer-readable memory, computer-readable storage device, and program instructions stored on storage device for execution by the processor. The system includes determining the baseline click speed values for a user and the deviation thresholds for the user over the predetermined period of time; determining a subsequent click speed value each time a user makes a selection when prompted; comparing the subsequent click speed value to the baseline click speed values and the deviation thresholds; determining whether the subsequent click speed value presents a predetermined deviation from the baseline click speed values and the deviation thresholds; incrementing a recorded deviations for the predetermined deviation; if the recorded deviations exceeds a predetermined allowable number of deviations, present, on one or more screens of a user device, a warning message to the user.