Conference articles · 2023
A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) · Pages 1064–1075
Abstract
Conversational agents have gained their ground in our daily life and various domains including healthcare. Chronic condition self-management is one of the promising healthcare areas in which conversational agents demonstrate significant potential to contribute to alleviating healthcare burdens from chronic conditions. This survey paper introduces and outlines types of conversational agents, their generic architecture and workflow, the implemented technologies, and their application to chronic condition self-management.
Publication details
- Category
- Conference articles
- Authors & affiliations
- Venue
- 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)
- Publisher
- IEEE
- Record
- Pages 1064–1075
- Published
- 2023
- Cite this work
Min Sook Park, Paramita Basak Upama, Adib Ahmed Anik, Sheikh Iqbal Ahamed, Jake Luo, Shiyu Tian, Masud Rabbani, Hyungkyoung Oh. “A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions”. 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 1064–1075. (2023). https://doi.org/10.1109/COMPSAC57700.2023.00162.
Plain-language summary
Research takeaway
This survey outlines conversational agent types, architectures, workflows, and supporting technologies. It examines how those components are used to support self-management of chronic conditions.
Research topics
- Conversational agents
- intelligent agents architecture
- chronic conditions
- self-management
- conversational agents
- natural language processing
- health chatbots
- intelligent-agent architecture
Related scholarship