Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies

IEEE Transactions on Emerging Topics in Computing(2021)

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摘要
Engaging in daily activities that engender positive affect (e.g., exercise and socializing) is critical for emotional well-being and is effective in reducing clinical depression. However, current digital mental health interventions have not exploited recommender approaches to encourage such healthy behaviors. This paper tests the feasibility of recommending personalized, healthy activities to user...
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关键词
Mood,Mental health,Support vector machines,Recommender systems,Predictive models,Computational modeling,Depression
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