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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
  1. Min Sook ParkSchool of Information Studies, University of Wisconsin-Milwaukee, WI, U.S.A.
  2. Paramita Basak UpamaDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A.
  3. Adib Ahmed AnikDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A.
  4. Sheikh Iqbal AhamedDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A.
  5. Jake LuoCollege of Health Sciences, University of Wisconsin-Milwaukee, WI, U.S.A.
  6. Shiyu TianDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A.
  7. Masud RabbaniDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, U.S.A.
  8. Hyungkyoung OhCollege of Nursing, University of Wisconsin-Milwaukee, WI, U.S.A.
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