Our smartwatch app runs on Google's Wear OS.
SocialBit passively analyzes audio on-device without storing any raw audio.
Audio "features" are extracted and run through a lightweight machine-learning model to classify social interaction activity.
Purchase a Wear OS smartwatch with at least 1.5GB of RAM and 16GB of storage, such as the TicWatch Pro 5. Pair it with an Android phone.
We will provide the SocialBit app through the Google Play Store. The app will be installed on both the smartwatch and the Android phone.
The participant will wear the smartwatch for a period of time. The app will collect data on social interactions and store it on the watch. (Phone not required during data collection.)
The participant will return the watch to you. You will need an Android phone with the companion app installed. Follow the in-app instructions to upload the data to our server.
You will be able to download the data for all of your participants, including social interaction metrics and survey responses (optional). The data will be in a conventional CSV format that you can analyze using standard statistical software.
If you have any questions or would like to learn more about SocialBit, please contact Min Shin, our project lead, at mcshin@charlotte.edu
We recommend existing users to login to the user portal (top right) and check those resources for assistance.