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

• URL: http://arxiv.org/abs/2202.10065v1
• Date: Mon, 21 Feb 2022 09:25:36 GMT
• Title: Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community
• Authors: Donghoon Shin, Subeen Park, Esther Hehsun Kim, Soomin Kim, Jinwook Seo, Hwajung Hong
• Abstract summary: We design an AI-infused workflow that allows users to write emotional supporting messages to other users' posts. Based on a preliminary user study, we identified that the system helped seekers to clarify emotion and describe text concretely.
• Score: 26.36961585672868
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

Related papers

• Empathic Responding for Digital Interpersonal Emotion Regulation via Content Recommendation [0.39321523855648755]
  We propose an approach to enhance Interpersonal Emotion Regulation on online platforms through content recommendation. The proposed recommendation system is expected to blend system-initiated and user-initiated emotion regulation. The study collects 37.5K instances of user posts and interactions on Reddit over a year to design a Contextual Multi-Armed Bandits (CMAB) based recommendation system.
  arXiv  Detail & Related papers  (2024-08-05T10:27:28Z)
• APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation [71.26755736617478]
  Empathetic response generation is designed to comprehend the emotions of others. We develop a framework that combines retrieval augmentation and emotional support strategy integration. Our framework can enhance the empathy ability of LLMs from both cognitive and affective empathy perspectives.
  arXiv  Detail & Related papers  (2024-07-23T02:23:37Z)
• Emotion Talk: Emotional Support via Audio Messages for Psychological Assistance [0.0]
  "Emotion Talk" is a system designed to provide continuous emotional support through audio messages for psychological assistance. The solution focuses on Portuguese-speaking users, ensuring that the system is linguistically and culturally relevant.
  arXiv  Detail & Related papers  (2024-07-12T05:13:17Z)
• Towards Understanding Emotions for Engaged Mental Health Conversations [1.3654846342364306]
  We are developing a system to perform passive emotion-sensing using a combination of keystroke dynamics and sentiment analysis. The analysis of short text messages and keyboard typing patterns can provide emotion information that may be used to support both clients and responders.
  arXiv  Detail & Related papers  (2024-06-17T01:27:15Z)
• Who can help me? Reconstructing users' psychological journeys in depression-related social media interactions [0.13194391758295113]
  We investigate several popular mental health-related Reddit boards about depression. We reconstruct users' psychological/linguistic profiles together with their social interactions. Our approach opens the way to data-informed understandings of psychological coping with mental health issues through social media.
  arXiv  Detail & Related papers  (2023-11-29T14:45:11Z)
• Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China [50.12173157902495]
  The study included 134 participants, split into three groups: Emohaa (CBT-based), Emohaa (Full) and control. Emohaa is a conversational agent that provides cognitive support through CBT-based exercises and guided conversations. It also emotionally supports users by enabling them to vent their desired emotional problems.
  arXiv  Detail & Related papers  (2022-09-21T08:23:40Z)
• MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation [64.37111498077866]
  We propose a novel model for emotional support conversation. It infers the user's fine-grained emotional status, and then responds skillfully using a mixture of strategy. Experimental results on the benchmark dataset demonstrate the effectiveness of our method.
  arXiv  Detail & Related papers  (2022-03-25T10:32:04Z)
• Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction [55.47134146639492]
  This article proposes a unifed end-to-end neural architecture, which is capable of simultaneously encoding the semantics and the emotions in a post. Experiments on real-world data demonstrate that the proposed method outperforms the state-of-the-art methods in terms of both content coherence and emotion appropriateness.
  arXiv  Detail & Related papers  (2021-06-06T06:26:15Z)
• Towards Emotional Support Dialog Systems [61.58828606097423]
  We define the Emotional Support Conversation task and propose an ESC Framework, which is grounded on the Helping Skills Theory. We construct an Emotion Support Conversation dataset (ESConv) with rich annotation (especially support strategy) in a help-seeker and supporter mode. We evaluate state-of-the-art dialog models with respect to the ability to provide emotional support.
  arXiv  Detail & Related papers  (2021-06-02T13:30:43Z)
• Target Guided Emotion Aware Chat Machine [58.8346820846765]
  The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions. This article proposes a unifed end-to-end neural architecture, which is capable of simultaneously encoding the semantics and the emotions in a post.
  arXiv  Detail & Related papers  (2020-11-15T01:55:37Z)
• Predicting User Emotional Tone in Mental Disorder Online Communities [2.365702128814616]
  We analyze how discussions in Reddit communities related to mental disorders can help improve the health conditions of their users. Using the emotional tone of users' writing as a proxy for emotional state, we uncover relationships between user interactions and state changes. We build models based on SOTA text embedding techniques and RNNs to predict shifts in emotional tone.
  arXiv  Detail & Related papers  (2020-05-15T11:25:08Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.