
Research Article
A Smartphone-Based Personalized Activity Recommender System for Patients with Depression
@INPROCEEDINGS{10.4108/eai.14-10-2015.2261655, author={Galen Chin-Lun Hung and Pei-Ching Yang and Chen-Yi Wang and Jung-Hsien Chiang}, title={A Smartphone-Based Personalized Activity Recommender System for Patients with Depression}, proceedings={5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={ACM}, proceedings_a={MOBIHEALTH}, year={2015}, month={12}, keywords={depression metal health smartphone usage patterns emotion context-aware recommender}, doi={10.4108/eai.14-10-2015.2261655} }
- Galen Chin-Lun Hung
Pei-Ching Yang
Chen-Yi Wang
Jung-Hsien Chiang
Year: 2015
A Smartphone-Based Personalized Activity Recommender System for Patients with Depression
MOBIHEALTH
ICST
DOI: 10.4108/eai.14-10-2015.2261655
Abstract
Depression is a common mental illness worldwide. Apart of pharmacological treatment and psychotherapy, self-management of negative emotions is of paramount importance, because relapse of depression often results from an inadequate response to negative emotions. The purpose of this study is to design and implement a personal recommender system, for emotion regulation. It assists users to be aware of negative emotions and guides them to deal with it with behavioral activation. It analyzes the smartphone usage patterns to predict the emergence of negative emotions, while integrating data obtained from context awareness and psychiatrists' recommendations to suggest relevant emotion-regulating activities. In this pilot study, we recruited 15 normal subjects to use our recommender application for 14 days. Our system has successfully recommended activities matched to subjects' intent, and their negative emotions attenuated substantially after engaging in the activities. The presented system has a potential to provide personalized and pervasive mental health services for patients with depression.