Gesture Recognition for Healthcare Questionnaires
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Solution Overview
Problem
Current digital questionnaires lack interactive and dynamic feedback mechanisms, relying on one-way data transmission and failing to provide real-time, personalized interactions with users, which limits their effectiveness in monitoring and assessing patient responses during drug therapies and counseling sessions.
Innovation Solution
The implementation of a system that uses a server and user device with an interactive display to transmit and process digital questionnaire data, allowing for gesture-based inputs, haptic feedback, and biometric data assessment, enabling two-way interactions and personalized responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional digital questionnaires are used with one-way data transmission, then device complexity is reduced, but user engagement and data accuracy deteriorate
Solution Approach 1:
The system implements bidirectional communication where the server sends questionnaire data to the user device and receives gesture inputs back. Haptic feedback is provided through the interactive display to enhance user engagement. This feedback loop transforms the one-way data transmission into an interactive experience, directly addressing the user engagement improvement goal.
Solution Approach 2:
The server acts as an intermediary between the user device and the data processing system. It coordinates the transmission of questionnaire data, receives gesture inputs, and manages the overall communication flow. This intermediary approach enables complex interactions to be managed through a centralized coordination point, balancing the increased interaction capabilities with systematic control.
2Measurement precision
If gesture-based inputs are implemented, then data accuracy is improved, but device complexity increases
Solution Approach 1:
The system replaces traditional mechanical input methods (buttons, switches) with gesture-based input detection through the interactive display. Gesture recognition technology detects and interprets user movements, providing more accurate data collection. This substitution enables precise measurement of user responses while leveraging modern display technology capabilities.
Solution Approach 2:
The system changes the input parameter from discrete button presses to continuous gesture movements. By detecting the characteristics of gestures (direction, speed, pattern), the system captures more nuanced user responses. This parameter change enhances data accuracy by measuring user intent through movement dynamics rather than simple binary inputs.
3Ease of operation
If real-time feedback mechanisms are added, then user engagement is enhanced, but loss of time in processing increases
Solution Approach 1:
The system implements periodic feedback through haptic responses at key interaction points in the questionnaire. Rather than continuous feedback that would consume excessive processing time, haptic feedback is provided at meaningful intervals or upon specific gesture completions. This periodic approach maintains user engagement while managing processing time efficiently.
Data Source
AI summary
A method of presenting a digital questionnaire, comprising: receiving, at a user's device, a digital questionnaire including a plurality of questions; presenting, by the user's device, a first virtual page; processing a first gesture received while the first virtual page is being presented; presenting, by the user's device, a second virtual page, wherein the second virtual page is selected based on the first gesture; processing, a second gesture received while the second virtual page is being presented; presenting a third virtual page; processing, a third gesture received while the third virtual page is being presented.