Designing a Competent Chatbot to Counter the COVID-19 Pandemic and Empower Risk Communication in an Emergency Response System

Authors

  • Chonnatee Rodsawang Division of Innovation and Research, Department of Disease Control, Ministry of Public Health
  • Pongsutee Thongkliang Public Sector Development Group, Department of Disease Control, Ministry of Public Health
  • Theeraporn Intawong Division of Innovation and Research, Department of Disease Control, Ministry of Public Health
  • Apisit Sonong Division of Innovation and Research, Department of Disease Control, Ministry of Public Health
  • Yosita Thitiwatthana Division of Innovation and Research, Department of Disease Control, Ministry of Public Health
  • Suthat Chottanapund Bureau of Risk Communication and Health Behavior Development, Department of Disease Control, Ministry of Public Health

DOI:

https://doi.org/10.59096/osir.v13i2.262825

Keywords:

COVID-19, hatbot development, risk communication, Thailand

Abstract

Risk communication is incorporated into an emergency response system. In Thailand, the Department of Disease Control (DDC) manages emergencies through the Emergency Operation Center (EOC). As a part of the EOC, the risk communication unit provides a hotline service that delivers information to and receives complaints and concerns from the general public. During the Coronavirus Disease 2019 (COVID-19) pandemic, a chatbot, which is a type of artificial intelligence (AI) was used to support the hotline service. This paper focuses on how to design an informative chatbot for the COVID-19 pandemic period that disseminates information to the general public. The chatbot, named “COVID-19 Preventable”, was created based on the Design Science Research Methodology (DSRM) under two cycles of design and development. At the early stage of development, information from reliable sources was transformed into a question and answer system and imported to natural language processing in the Dialogflow on Google Cloud. The chatbot was the first official chatbot to communicate on COVID-19 on behalf of public health authorities. It consists of seven prompt features, namely, a situation report, how to protect yourself from COVID-19, fake news, self-screening for COVID-19, a list of nearest hospitals, the hotline number to call, and report notification. The uniquely informative and dynamic chatbot is likely to be an alternative channel for disseminating timely information on COVID-19.

References

Namwat C, Suphanchaimat R, Nittayasoot N, Iamsirithaworn S. Thailand’s response against Coronavirus Disease 2019: challenges and lessons learned. OSIR. 2020 Mar;13(1):33-37.

Mehr, Hila. 2017. “Artificial Intelligence for Citizen Services and Government”. <https://ash.harvard.edu/publications/artificial-intelligence-citizen-services-and-government>

Chatbot Definition [Internet]. [cited 2020 May 15]. <https://www.investopedia.com/terms/c/chatbot.asp>

Androutsopoulou A, Karacapilidis N, Loukis E, Charalabidis Y. Transforming the communication between citizens and government through AI-guided chatbots. Gov Inf Q. 2019 Apr 1;36(2):358–67.

Zumstein D, Hundertmark S. Chatbots: an interactive technology for personalized communication and transaction. Int J WWW/Internet. 2018;15(1):96–109.

Peffers K, Tuunanen T, Rothenberger M. A, Chatterjee S. A design science research methodology for information systems research. Journal of management information systems. 2007; 24(3): 45-77.

Hughes R. Thailand internet user behavior 2019. Vol. 53, Journal of Chemical Information and Modeling. 2008. 287 p. (in Thai).

Building and deploying a chatbot by using Dialogflow (overview) [Internet]. [cited 2020 May 15]. Available from: <https://cloud.google.com/solutions/building-and-deploying-chatbot-dialogflow>

Chaturvedi A, Srivastava S, Rai A, Cheema AS. A Hybrid Approach to Develop and Integrate Chatbot in Health Informatics Systems. 13th International Conference on Health Informatics; 2020 Jan 8.

Maroengsit W, Piyakulpinyo T, Phonyiam K, Pongnumkul S, Chaovalit P, Theeramunkong T. A survey on evaluation methods for chatbots.

ACM Int Conf Proceeding Ser. 2019;Part F1483 (March):111–9.

Published

2020-06-30

How to Cite

Rodsawang, C., Thongkliang, P., Intawong, T., Sonong, A., Thitiwatthana, Y., & Chottanapund, S. (2020). Designing a Competent Chatbot to Counter the COVID-19 Pandemic and Empower Risk Communication in an Emergency Response System. Outbreak, Surveillance, Investigation & Response (OSIR) Journal, 13(2), 71–77. https://doi.org/10.59096/osir.v13i2.262825

Issue

Section

Invited article