(thesis advisor)Chris Prentice
(thesis advisor)Harpreet Sareen
(thesis advisor)Loretta Wolozin
May 3 2020
This project aims to research and explore how to design artificial intelligence applications for natural disasters response. Addressing challenges and pain points that first responders are currently facing after natural disasters happened, especially to solve the limited and unreliable technology they use in the current system. Additionally, first responders are still facing challenges in communication, information transparency, decision making conflict, and relief resources distribution. These difficulties let them lose precious time that results in delayed disaster area recovery and reconstruction. The process is using a design thinking approach that allows designers to learn and understand specific domains in order to create user-centered design applications for first responders. Methods include cross-demographic interviews, surveys, ideation, prototyping, and user-testing. The final design demonstrates how to integrate various AI technologies to help first responders at each stage of the mission, and show future designers on how to design for artificial intelligence.
Parsons Institutional Collections
There’s more! What you see on this site is only what is viewable online. Please visit our website to find out more about what’s in the archives.