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

By Meng-Han Tsai, J. Chen, Shih-Chung Jessy Kang. 2019

47 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Information Systems, Transportation, Natural Language Processing, Dialogue & Conversational AI

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Y-Lan Boureau
  2. Emily Dinan
  3. Gavin Abercrombie
  4. Shannon L. Spruit
  5. Dirk Hovy
  6. A. S. Bergman
  7. Verena Rieser
  8. Jason Aaron Edward Weston

In Information Systems

  1. Meng-Han Tsai
  2. Shannon L. Spruit
  3. Verena Rieser
  4. Gavin Abercrombie
  5. Dirk Hovy
  6. A. S. Bergman
  7. Emily Dinan
  8. Y-Lan Boureau

In Transportation

  1. Meng-Han Tsai

In Natural Language Processing

  1. Y-Lan Boureau
  2. Emily Dinan
  3. Gavin Abercrombie
  4. Dirk Hovy
  5. Shannon L. Spruit
  6. Verena Rieser
  7. A. S. Bergman
  8. Jason Aaron Edward Weston

In Dialogue & Conversational AI

  1. Meng-Han Tsai
  2. Verena Rieser

Citations in the corpus