Addict Free -- A Smart and Connected Relapse Intervention Mobile App

TL;DR

Addict Free is a mobile app that leverages spatial-temporal data and machine learning to predict relapse risks and provide personalized interventions for addiction recovery, fostering community support and sharing.

Contribution

This paper introduces a novel relapse prevention app that integrates spatial-temporal analysis and machine learning for personalized addiction intervention and community support.

Findings

The app predicts relapse risks using spatial-temporal data.

It recommends personalized diversion activities based on machine learning.

The app fosters a supportive community for recovering users.

Abstract

It is widely acknowledged that addiction relapse is highly associated with spatial-temporal factors such as some specific places or time periods. Current studies suggest that those factors can be utilized for better relapse interventions, however, there is no relapse prevention application that makes use of those factors. In this paper, we introduce a mobile app called "Addict Free", which records user profiles, tracks relapse history and summarizes recovering statistics to help users better understand their recovering situations. Also, this app builds a relapse recovering community, which allows users to ask for advice and encouragement, and share relapse prevention experience. Moreover, machine learning algorithms that ingest spatial and temporal factors are utilized to predict relapse, based on which helpful addiction diversion activities are recommended by a recovering recommendation algorithm. By interacting with users, this app targets at providing smart suggestions that aim to stop relapse, especially for alcohol and tobacco addiction users.