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Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community
Authors
Hwajung Hong
Esther Hehsun Kim
+4 more
Soomin Kim
Subeen Park
Jinwook Seo
Donghoon Shin
Publication date
21 February 2022
Publisher
'Association for Computing Machinery (ACM)'
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on
arXiv
Abstract
© 2022 ACM.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.N
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Last time updated on 02/06/2023