The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System

Ankit Agrawal, Sophia J. Abraham, Benjamin Burger, Christine Chichi, Luke Fraser, John M. Hoeksema, Sarah Hwang, Elisabeth Travnik, Shreya Kumar, Walter Scheirer, Jane Cleland-Huang, Michael Vierhauser, Ryan Bauer, Steve Cox

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The use of semi-autonomous Unmanned Aerial Vehicles (UAV) to support emergency response scenarios, such as fire surveillance and search and rescue, offers the potential for huge societal benefits. However, designing an effective solution in this complex domain represents a "wicked design" problem, requiring a careful balance between trade-offs associated with drone autonomy versus human control, mission functionality versus safety, and the diverse needs of different stakeholders. This paper focuses on designing for situational awareness (SA) using a scenario-driven, participatory design process. We developed SA cards describing six common design-problems, known as SA demons, and three new demons of importance to our domain. We then used these SA cards to equip domain experts with SA knowledge so that they could more fully engage in the design process. We designed a potentially reusable solution for achieving SA in multi-stakeholder, multi-UAV, emergency response applications.
Original languageEnglish
Title of host publicationCHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, USA, April 25-30, 2020
Number of pages13
ISBN (Electronic)9781450367080
DOIs
Publication statusPublished - 2020

Fields of science

  • 202005 Computer architecture
  • 202017 Embedded systems
  • 102 Computer Sciences
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 201132 Computational engineering
  • 201305 Traffic engineering
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics

JKU Focus areas

  • Digital Transformation

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