MyListener: An AI-Mediated Journaling Mobile Application for Alleviating Depression and Loneliness Using Contextual Data

Depression and loneliness are significant contributors to poor mental health and can potentially develop into severe mental disorders. With the advent of large language model (LLM) technology, healthcare applications aimed at improving mental health have become increasingly active, and AI-mediated journaling has garnered attention for its potential in mental health management. However, the impact of AI-mediated journaling on depression and loneliness remains underexplored. To address this, we introduce MyListener, an AI-mediated journaling mobile application that provides context-aware diary prompts and replies based on contextual data collected from the smartphone and the Fitbit Luxe smartband. We conducted a two-week study with 11 university students to evaluate user experiences and observed a reduction in depression and loneliness during its use. This paper outlines our research contributions, discusses future work, and plans for a full-scale experiment.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3675094.3677601
Citations
2
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
1.29
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article

MyListener: An AI-Mediated Journaling Mobile Application for Alleviating Depression and Loneliness Using Contextual Data

Soyeon Choi, Jaejeung Kim, Gyeyoung Jung, Yuju Kang
2 citations
Mental Health via Writing
1.29
article

MyListener: An AI-Mediated Journaling Mobile Application for Alleviating Depression and Loneliness Using Contextual Data

Soyeon Choi, Jaejeung Kim, Gyeyoung Jung, Yuju Kang
article en
2 citations

Abstract

Depression and loneliness are significant contributors to poor mental health and can potentially develop into severe mental disorders. With the advent of large language model (LLM) technology, healthcare applications aimed at improving mental health have become increasingly active, and AI-mediated journaling has garnered attention for its potential in mental health management. However, the impact of AI-mediated journaling on depression and loneliness remains underexplored. To address this, we introduce MyListener, an AI-mediated journaling mobile application that provides context-aware diary prompts and replies based on contextual data collected from the smartphone and the Fitbit Luxe smartband. We conducted a two-week study with 11 university students to evaluate user experiences and observed a reduction in depression and loneliness during its use. This paper outlines our research contributions, discusses future work, and plans for a full-scale experiment.

Chungnam National University (KR)
Reduced inequalities
Openalex Percentile: Top 19%
Mental Health via Writing
1.29
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MyListener: An AI-Mediated Journaling Mobile Application for Alleviating Depression and Loneliness Using Contextual Data — Soyeon Choi, Jaejeung Kim, et al. · (2024) | TGRS Research Map | TGRS