Powerful tools designed for digital health research. From participant engagement to real-time monitoring, NeuroUX provides everything you need to conduct cutting-edge studies.

Just-In-Time Adaptive Intervention (JITAI) framework leverages real-time data and behavioral context to provide timely, meaningful support that adapts to each participant’s unique patterns and needs. By analyzing participant responses, sensor data, and engagement behavior, researchers can design interventions that improve both participant outcomes and study effectiveness.
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Designed especially for high-risk and safety-sensitive studies such as suicidal ideation research. This feature allows research teams to receive immediate notifications when participant responses indicate elevated risk. When participants complete EMA surveys or assessments, responses are continuously evaluated against predefined risk criteria. If concerning patterns or indicators are detected, alerts are triggered instantly, empowering research teams to take timely and appropriate action.
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The Reward Screen provides participants with clear, real-time visibility into their study compensation, reinforcing engagement and sustaining adherence throughout the study. Displayed at the end of each session, the reward screen shows both session-level earnings and cumulative progress, creating a strong sense of motivation and goal attainment, especially in longer protocols where adherence typically declines.
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Provides a mobile-friendly electronic consent (E-Consent) experience that allows researchers to securely obtain informed consent from participants before study enrollment. Participants receive a consent link via text message and are guided through a clear, step-by-step interface that explains study details, risks, data use, and participation requirements, followed by a brief comprehension check to ensure understanding.
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The Calorie Tracking feature lets participants log food intake by uploading a photo of a food item. After submission, an estimated nutrition breakdown, such as calories, weight (grams) and protein, is returned and stored with a timestamp for easy review and analysis. This makes it simple to capture dietary data with minimal participant effort while giving researchers structured, analyzable outputs.
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Performance feedback lets you generate clear, end-of-study reports that summarize cognitive performance across sessions. Reports can be shared with participants as a simple, easy-to-understand snapshot, or provided to researchers as a richer summary of trends over time. By showing overall scores and session-by-session changes, this feature helps teams communicate progress, study impact, and engagement in a structured, visual format.
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