Smartphone-based research · Encrypted data · Global cohorts
The infrastructure for smartphone-based research
SMAAT (Sensor-based Mobile Application for Assessment and Tracking) is built to help researchers, clinicians, and applied teams run modern digital studies without building their own app stack. Design protocols in the web dashboard, reach participants via iOS and Android, and collect encrypted survey and sensor data over time.
Focus
EMA/ESM, digital health, applied research
Data
Self-report, GPS, motion, background streams
Security
Public/private key encryption, on-device storage
Mission
Lower the barrier to high-quality, smartphone-based research by combining robust study tooling with secure, privacy-aware data collection.
Research domains
Psychology, health, market, workplace
Study building blocks
Surveys, sampling, sensors, cohorts
Want to see how everything fits together? Start with Getting Started.
A complete stack for experience sampling and sensor studies
At its core, SMAAT connects a web-based researcher dashboard with a participant-facing mobile app. You configure studies in the browser—surveys, triggers, sensor streams—while participants respond to prompts and passively share data from their everyday smartphones. Public/private key encryption and on-device storage keep sensitive information protected throughout the pipeline.
Researcher dashboard
Design surveys, define sampling schedules, manage cohorts, and monitor adherence in real time—all in the browser.
Participant app
A single iOS/Android app for joining studies, responding to prompts, and sharing sensor data under clear consent flows.
Data layer
Encrypted storage, robust synchronization, and exportable datasets suitable for statistical and machine learning analysis.
Governance & privacy
Built with privacy by design, GDPR-aligned practices, and clear separation of identifiers and research data.
What defines the SMAAT platform
The design of SMAAT is grounded in three pillars: flexible study design, secure-by-default infrastructure, and sensor-enhanced data collection that works in everyday life.
Flexible study design
Configure EMA/ESM protocols, longitudinal cohorts, and targeted tasks with time-based, random, and event-based prompts plus quiet hours.
Security by design
Public/private key encryption, on-device storage, and careful handling of identifiers help you meet ethical and regulatory expectations.
Sensor-enriched insights
Combine GPS, accelerometer, and other smartphone signals with self-report to understand context, mobility, and behavior over time.
Built for researchers, clinicians, and applied teams
SMAAT is intentionally general-purpose: you can use the same infrastructure for academic studies, clinical monitoring, workplace research, or customer insights—while preserving rigor and privacy.
Academic & clinical research
Run EMA/ESM protocols, observational cohorts, and intervention trials that integrate symptom reports, context, and passive data.
Businesses & organizations
Study customer journeys, workplace experiences, or employee well-being using mobile surveys and optional background signals.
Healthcare & individuals
Support digital health interventions, symptom tracking, and self-monitoring with smartphone-native questionnaires and sensor streams.
Slot SMAAT into your existing research workflow
Define questions and schedule
Translate your protocol into surveys, triggers, and sampling rules inside the SMAAT dashboard.
Recruit and monitor
Enroll participants via codes or links, monitor adherence, and check that sensor streams are flowing as expected.
Export and analyze
Export structured datasets for your preferred toolchain—R, Python, SPSS, or custom analysis pipelines.
Plan your next smartphone-based study with SMAAT
Use the web dashboard to design your protocol, invite participants to the SMAAT app, and move from static questionnaires to rich, time-stamped datasets.