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Journal: International Journal of Management (IJM) (Vol.11, No. 10)

Publication Date:

Authors : ;

Page : 1749-1756

Keywords : Conversational agents; chatbot; natural lan-guage processing; flood; disaster;

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Although the frequency of flood is increasing due to climate crises and other factors, a large number of population is not aware of the steps needed to be taken before, during and after the disastrous event. This paper proposed using chatbot in managing flood disaster. Flow chatbot has three main functions. First, it acts as a flood assistant by providing steps for flood preparation before, during, and after flood. Second, Flow chatbot broadcasts flood-related information based on user location. Lastly, Flow chatbot educates users about general flood crisis management. The core of Flow is the Natural Language Processing (NLP) engine based on pattern matching. The findings from User Acceptance Test (UAT) concluded that majority of the respondents ‘Agree' that the chatbot is useful (53.3%), user-friendly (46.7%), attractive (60.0%), appropriate (53.3%), and relevant (56.7%). Flow is hoped to provide people the privilege to obtain information and plan for any possible upcoming flood occurences.

Last modified: 2021-02-05 13:37:54