Human-AI Collaboration for Mental Health: Combining AI and Human Expertise to Understand the Underlying Causes of Mental Health Concerns
Disciplines
Artificial Intelligence and Robotics
Abstract (300 words maximum)
In today's era, mental health has become a concern impacting millions of people globally. Mental well- being influences an individual's thoughts, emotions, and social interactions. With the increasing use of social media platforms for connections and support, understanding mental health discussions on these platforms has gained importance. Social media sites like Reddit offer a glimpse into how users perceive and deal with mental health issues. The rise of natural language processing and artificial intelligence techniques has shown potential in analyzing data. However, interpreting the post on Reddit and verifying it is quite challenging due to the nature of the data. In this study, we aim to collaborate human expertise with artificial intelligence to identify the reasons behind mental health issues. Our proposed approach involved annotating posts from Reddit based on the reason behind mental health conditions. Utilizing our rigorously annotated dataset, we aim to train our developed advanced deep neural network model for analyzing and interpreting the post. By combining human expertise in the loop, we believe that our comprehensive framework will be able to identify issues behind mental health effectively. Moreover, our research would provide insights for health professionals, researchers, and policymakers to develop effective strategies for supporting mental well-being in the digital realm.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
Md Abdullah Al Hafiz Khan
Human-AI Collaboration for Mental Health: Combining AI and Human Expertise to Understand the Underlying Causes of Mental Health Concerns
In today's era, mental health has become a concern impacting millions of people globally. Mental well- being influences an individual's thoughts, emotions, and social interactions. With the increasing use of social media platforms for connections and support, understanding mental health discussions on these platforms has gained importance. Social media sites like Reddit offer a glimpse into how users perceive and deal with mental health issues. The rise of natural language processing and artificial intelligence techniques has shown potential in analyzing data. However, interpreting the post on Reddit and verifying it is quite challenging due to the nature of the data. In this study, we aim to collaborate human expertise with artificial intelligence to identify the reasons behind mental health issues. Our proposed approach involved annotating posts from Reddit based on the reason behind mental health conditions. Utilizing our rigorously annotated dataset, we aim to train our developed advanced deep neural network model for analyzing and interpreting the post. By combining human expertise in the loop, we believe that our comprehensive framework will be able to identify issues behind mental health effectively. Moreover, our research would provide insights for health professionals, researchers, and policymakers to develop effective strategies for supporting mental well-being in the digital realm.