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栗 達 所属 京都産業大学 情報理工学部 情報理工学科 職種 准教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2021/12 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | HappyRec: Evaluation of a “Happy Spot” Recommendation System Aimed at Improving Mental Well-Being |
| 執筆形態 | その他 |
| 掲載誌名 | The IEEE International Workshop on Social Data Mining in the Post-pandemic Era (SDM 2021) @ 2021 IEEE International Conference on Data Mining (ICDM2021) |
| 巻・号・頁 | 2021-December,pp.889-892 |
| 著者・共著者 | Kenta Suzuki,Panote Siriaraya,Wan Jou She,Ryotaro Tanaka,Da Li,Shinsuke Nakajima |
| 概要 | In recent years, the number of people with depression has increased due to the COVID-19 pandemic. One of the activities which has been found to help in improving mental well-being and reducing stress is an exercise called the "three good things". In this exercise, participants are asked to write down and reflect on three good things that happened to them each day every night before they sleep. However, for the people who suffer from conditions such as low self-esteem and depression, it is not easy for them to be aware of good things or small moments of happiness in their daily lives. To address this issue, we propose a happiness spot recommendation system to provide suggestions for nearby spots which might improve their positive affect using Google Maps. To verify the validity of our proposed method, we asked nine subjects to evaluate the proposed system and reported the happiness ranking accuracy of the recommended spots. |
| DOI | 10.1109/ICDMW53433.2021.00116 |
| ISSN | 2375-9232/2375-9259 |