Parsons School of Design MFA Design and Technology program theses ➔ 2020 ➔ Design for Artificial Intelligence, Creating Disaster Emergency Decision Making System for First Responders

Thesis

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Related people/organizations

Bohan Chen (designer)
Brad MacDonald (thesis advisor)
Chris Prentice (thesis advisor)
Harpreet Sareen (thesis advisor)
Loretta Wolozin (thesis advisor)

Date

May 3 2020

Description

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.

Related Terms

Parsons Institutional Collections

Identifier

PC020402_2020_chenb002

Use Restrictions

http://rightsstatements.org/vocab/InC/1.0/  

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