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Water 2019, 11(2), 234; https://doi.org/10.3390/w11020234

Ask Diana: A Keyword-Based Chatbot System for Water-Related Disaster Management

1
Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
2
Department of Civil Engineering, National Taiwan University, Taipei 10617, Taiwan
3
Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
*
Author to whom correspondence should be addressed.
Received: 4 January 2019 / Revised: 18 January 2019 / Accepted: 28 January 2019 / Published: 30 January 2019
(This article belongs to the Section Hydrology)
Full-Text   |   PDF [4116 KB, uploaded 30 January 2019]   |  

Abstract

This research developed a keyword-based chatbot system, Ask Diana, for water-related disaster management. Disaster management has been considered difficult and tedious due to the complex characteristics of disaster-related data. To deal with this problem, this research developed a chatbot system with a water-related disaster database, a user intent mechanism, and an intuitive mobile-device-based user interface. With such a system, users are able to access important data or information they need for decision making by directly asking the proposed chatbot or operating the image-based menus. The system was validated through a usability test and a six-month field test. The results demonstrated that Ask Diana can help related personnel access disaster data intuitively and develop corresponding response strategies efficiently. View Full-Text
Keywords: chatbot; disaster management; decision support; water-related disaster chatbot; disaster management; decision support; water-related disaster
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Tsai, M.-H.; Chen, J.Y.; Kang, S.-C. Ask Diana: A Keyword-Based Chatbot System for Water-Related Disaster Management. Water 2019, 11, 234.

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