A Smartphone-Based Personalized Activity Recommender System for Patients with Depression
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2016-12-01
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| Series: | EAI Endorsed Transactions on Cognitive Communications |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/eai.14-10-2015.2261655 |
| _version_ | 1818178091845943296 |
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| author | Galen Chin-Lun Hung Pei-Ching Yang Chen-Yi Wang Jung-Hsien Chiang |
| author_facet | Galen Chin-Lun Hung Pei-Ching Yang Chen-Yi Wang Jung-Hsien Chiang |
| author_sort | Galen Chin-Lun Hung |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T20:42:28Z |
| format | Article |
| id | doaj.art-dd674f202b7a4c15acf3d8e8c9d0c53e |
| institution | Directory Open Access Journal |
| issn | 2313-4534 |
| language | English |
| last_indexed | 2024-12-11T20:42:28Z |
| publishDate | 2016-12-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Cognitive Communications |
| spelling | doaj.art-dd674f202b7a4c15acf3d8e8c9d0c53e2022-12-22T00:51:27ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Cognitive Communications2313-45342016-12-01291510.4108/eai.14-10-2015.2261655A Smartphone-Based Personalized Activity Recommender System for Patients with DepressionGalen Chin-Lun Hung0Pei-Ching Yang1Chen-Yi Wang2Jung-Hsien Chiang3Taipei City Psychiatric Center, Taipei City Hospital, Taiwan; galenhung@tpech.gov.twDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan, TaiwanDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan, TaiwanDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan, TaiwanDepression 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.http://eudl.eu/doi/10.4108/eai.14-10-2015.2261655depressionmetal healthsmartphoneusage patternsemotioncontext-awarerecommender |
| spellingShingle | Galen Chin-Lun Hung Pei-Ching Yang Chen-Yi Wang Jung-Hsien Chiang A Smartphone-Based Personalized Activity Recommender System for Patients with Depression EAI Endorsed Transactions on Cognitive Communications depression metal health smartphone usage patterns emotion context-aware recommender |
| title | A Smartphone-Based Personalized Activity Recommender System for Patients with Depression |
| title_full | A Smartphone-Based Personalized Activity Recommender System for Patients with Depression |
| title_fullStr | A Smartphone-Based Personalized Activity Recommender System for Patients with Depression |
| title_full_unstemmed | A Smartphone-Based Personalized Activity Recommender System for Patients with Depression |
| title_short | A Smartphone-Based Personalized Activity Recommender System for Patients with Depression |
| title_sort | smartphone based personalized activity recommender system for patients with depression |
| topic | depression metal health smartphone usage patterns emotion context-aware recommender |
| url | http://eudl.eu/doi/10.4108/eai.14-10-2015.2261655 |
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