Author
Listed:
- Xin Wang
(North Dakota State University, USA)
- Tianyi Liang
(North Dakota State University, USA)
- Juan Li
(North Dakota State University, USA)
- Souradip Roy
(North Dakota State University, USA)
- Vikram Pandey
(North Dakota State University, USA)
- Yang Du
(Valley City State University, USA)
- Jun Kong
(North Dakota State University, USA)
Abstract
The coronavirus disease 2019 (COVID-19) epidemic poses a threat to the everyday life of people worldwide and brings challenges to the global health system. During this outbreak, it is critical to find creative ways to extend the reach of informatics into every person in society. Although there are many websites and mobile applications for this purpose, they are insufficient in reaching vulnerable populations like older adults who are not familiar with using new technologies to access information. In this paper, we propose an AI-enabled chatbot assistant that delivers real-time, useful, context-aware, and personalized information about COVID-19 to users, especially older adults. To use the assistant, a user simply speaks to it through a mobile phone or a smart speaker. This natural and interactive interface does not require the user to have any technical background. The virtual assistant was evaluated in the lab environment through various types of use cases. Preliminary qualitative test results demonstrate a reasonable precision and recall rate.
Suggested Citation
Xin Wang & Tianyi Liang & Juan Li & Souradip Roy & Vikram Pandey & Yang Du & Jun Kong, 2021.
"Artificial Intelligence-Empowered Chatbot for Effective COVID-19 Information Delivery to Older Adults,"
International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 12(6), pages 1-18, November.
Handle:
RePEc:igg:jehmc0:v:12:y:2021:i:6:p:1-18
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