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

要旨

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.

受賞
Honorable Mention
キーワード
Situational Awareness
Human-CPS interactions
Unmanned Aerial Vehicles
Emergency Response
Participatory design
著者
Ankit Agrawal
University of Notre Dame, Notre Dame, IN, USA
Sophia J. Abraham
University of Notre Dame, Notre Dame, IN, USA
Benjamin Burger
University of Notre Dame, Notre Dame, IN, USA
Chichi Christine
University of Notre Dame, Notre Dame, IN, USA
Luke Fraser
University of Notre Dame, Notre Dame, IN, USA
John M. Hoeksema
University of Notre Dame, Notre Dame, IN, USA
Sarah Hwang
University of Notre Dame, Notre Dame, IN, USA
Elizabeth Travnik
University of Notre Dame, Notre Dame, IN, USA
Shreya Kumar
University of Notre Dame, Notre Dame, IN, USA
Walter Scheirer
University of Notre Dame, Notre Dame, IN, USA
Jane Cleland-Huang
University of Notre Dame, Notre Dame, IN, USA
Michael Vierhauser
Johannes Kepler University Linz, Linz, Austria
Ryan Bauer
South Bend Fire Department, South Bend, IN, USA
Steve Cox
South Bend Fire Department, South Bend, IN, USA
DOI

10.1145/3313831.3376825

論文URL

https://doi.org/10.1145/3313831.3376825

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Attention & safety

Paper session
314 LANA'I
4 件の発表
2020-04-30 23:00:00
2020-05-01 00:15:00
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