Matchmaking for Mental Well-being: Development of a Peer-based Support System (Peer2S) for Students during COVID Lockdown
Matchmaking for Mental Well-being: Development of a Peer-based Support System (Peer2S) for Students during COVID Lockdown
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DOI：
10.1145/3581754.3584148
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发表时间：
2023-03
期刊：
影响因子：
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通讯作者：
W. She;Kota Dangisho;Panote Siriaraya;Felix Dollack;Shinichi Nakajima
中科院分区：
文献类型：
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作者：
W. She;Kota Dangisho;Panote Siriaraya;Felix Dollack;Shinichi Nakajima
众所周知，社会支持是心理健康的关键因素。更具体地说，许多心理学研究都充分记录了危机时期优质社会支持的保护作用。在这项研究中，我们开发了一个社会支持匹配系统，将经历相似生活情况的人们联系起来，提供基于同伴的支持，使他们能够更好地共同应对自己的处境。作为一个案例研究，我们重点关注了生活受到 COVID-19 封锁影响的日本学生。为了开发我们系统中使用的推荐模型，50 名参与者被要求注册他们的个人资料，随后，20 位用户确定他们是否与每个个人资料匹配，从而产生 1000 个数据点。然后，我们尝试了各种协作过滤和深度学习方法，并评估了它们向用户推荐个人资料的有效性。最后进行了用户实验研究，11名用户使用该系统2周。结果显示，虽然感知到的社会支持没有显着差异，但用户表示焦虑明显减少，抑郁程度略有减轻。
Social support is known to be a critical factor for mental well-being. More specifically, the protective effect of quality social support in times of crisis is well documented in many psychological studies. In this study, we developed a social support matching system that connects people who are going through similar life circumstances to provide peer-based support, allowing them to better cope with their situation together. As a case study, we focused on Japanese students whose lives were impacted by the COVID-19 lock down. To develop the recommendation model used in our system, 50 participants were asked to register their profile and afterwards, 20 users determined whether they would match with each of the profiles resulting in 1000 data points. We then experimented with various collaborative filtering and deep learning approaches and evaluated their effectiveness in recommending profiles to users. Finally, a user experiment study was conducted in which 11 users used the system 2 weeks. The results showed that while there was no significant difference in perceived social support, users reported significantly less anxiety and a borderline reduction in depression.