Abstract: Disclosed is a system and method for supporting automated self-experimentation based on lifelog data for health behavior change. The system includes a data collection unit configured to collect data related to a user from a plurality of smart terminals and preprocess the data as variables that represent a lifelog of the user; a causal inference unit configured to establish a causal relationship hypothesis between the variables of the user and infer a causal relationship between the variables collected from the user using a statistical analysis method; a variable recommendation unit configured to recommend a variable for verifying the causal relationship through self-experimentation for the user based on an inference result acquired from the causal inference unit and an interaction of the user with the system; and a self-experimentation planning unit configured to plan and conduct an experiment to verify the causal relationship through the self-experimentation for the user.

Abstract: Provided is an analysis system and method for causal inference of digital therapeutics based on mobile data. An analysis method for causal inference of digital therapeutics performed by an analysis system may include collecting mobile data generated by a mobile device; performing a causal inference of digital therapeutics using the collected mobile data; and providing an analysis result acquired through the performed causal inference of the digital therapeutics.