01.
Automatically and unobtrusively capture contextual and behavioral signals, such as real-time location, heart rate (variability), app use, step count, ambient noise, etc. via wearables or native iOS and Android smartphone sensors.
02.
Collect sensor data from mobile and wearable devices (Fitbit, Apple, Garmin) constantly in the background (Sensing Full), or use the more privacy-friendly alternative (Sensing Lite), which restricts passive data collection to predefined assessment moments only.
03.
Securely derive momentary sentiment from phone-based communication and assess typing behavior (speed, errors, emoji use, etc.) without the need to access or store raw text data.
04.
Automatically trigger mobile surveys or interventions based on predefined changes in passive mobile sensor data or Garmin wearable output.
Quickly track sensors and configure customized trigger schemes in our point-and-click survey editor.
Passive sensing data are not stored on our servers, but sent directly to a cloud storage solution of your choosing, keeping identifiable data condfidential.
Continuously collected sensing data are captured through a separate app, keeping identifiable information strictly separated from participants’ survey responses.
Process and analyze your passive sensing data in R with our m-Path SenseR package.
Investigate naturalistic phone-based communication on participants’ iOS and Android devices.
Automatically trigger high-resolution location-specific interactions when participants' come into the close proximity of a specific Bluetooth beacon.
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