Paper Info
Title
Analysis of User Interaction to Mental Health Application Using Topic Modeling Approach
Abstract
Mental health-related illnesses like depression and anxiety have become a major concern for society. Due to social stigma and unawareness, many such patients lack proper doctors’ consultancy, diagnosis, and treatments. Many of such problems arise due to the urban living style, social and family disconnect. Nonetheless, various health-related mobile applications offer ways to minimize the risks by providing an option for remote doctor consultations, connecting to family and friends, or sharing thoughts. To investigate the effectiveness and discover the key issues of such apps, we analyze the user’s interaction, discussion, and responses to mental health apps through topic modeling approaches. The experimental results show that many users found many applications helpful and complained mostly about technical issues and business practices. We also evaluated topics and keywords from feedbacks to further improve the application interface and functionalities.
Year
DOI
Venue
2021
10.1007/978-3-030-98404-5_63
Intelligent Human Computer Interaction
Keywords
DocType
Volume
Mental health, Depression, Mobile application, Depression, User interaction, Topic modeling
Conference
13184
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Ajit Kumar101.01
Ankit Kumar Singh200.34
Bong Jun Choi300.68