论文标题

探索在线心理健康社区中AI辅助情感支持过程的影响

Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community

论文作者

Shin, Donghoon, Park, Subeen, Kim, Esther Hehsun, Kim, Soomin, Seo, Jinwook, Hong, Hwajung

论文摘要

在线精神卫生社区(OMHC)中的社会支持是一种管理心理健康的有效方法。在此过程中,共享情感支持被认为对OMHC中蓬勃发展的社会支持至关重要,但对于寻求者和提供者来说通常很难。为了支持善解人意的互动,我们设计了一个注入AI的工作流程,该工作流程使用户能够根据搜索者的情感和上下文关键字来为其他用户的帖子写情感支持消息。基于初步用户研究(n = 10),我们确定该系统帮助寻找情感并在撰写文章时具体描述文本。提供者还可以学习如何对该职位做出同情心。基于这些结果,我们建议对我们提出的系统具有设计含义。

Social support in online mental health communities (OMHCs) is an effective and accessible way of managing mental wellbeing. In this process, sharing emotional supports is considered crucial to the thriving social supports in OMHCs, yet often difficult for both seekers and providers. To support empathetic interactions, we design an AI-infused workflow that allows users to write emotional supporting messages to other users' posts based on the elicitation of the seeker's emotion and contextual keywords from writing. Based on a preliminary user study (N = 10), we identified that the system helped seekers to clarify emotion and describe text concretely while writing a post. Providers could also learn how to react empathetically to the post. Based on these results, we suggest design implications for our proposed system.

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