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The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System
arXiv - CS - Software Engineering Pub Date : 2020-01-12 , DOI: arxiv-2001.03849 Ankit Agrawal (1), Sophia Abraham (1), Benjamin Burger (1), Chichi Christine (1), Luke Fraser (1), John Hoeksema (1), Sara Hwang (1), Elizabeth Travnik (1), Shreya Kumar (1), Walter Scheirer (1), Jane Cleland-Huang (1), Michael Vierhauser (2), Ryan Bauer (3), Steve Cox (3) ((1) University of Notre Dame, USA, (2) Johannes Keppler University, Linz, Austria, (3) South Bend Fire Department, South Bend, IN, USA)
arXiv - CS - Software Engineering Pub Date : 2020-01-12 , DOI: arxiv-2001.03849 Ankit Agrawal (1), Sophia Abraham (1), Benjamin Burger (1), Chichi Christine (1), Luke Fraser (1), John Hoeksema (1), Sara Hwang (1), Elizabeth Travnik (1), Shreya Kumar (1), Walter Scheirer (1), Jane Cleland-Huang (1), Michael Vierhauser (2), Ryan Bauer (3), Steve Cox (3) ((1) University of Notre Dame, USA, (2) Johannes Keppler University, Linz, Austria, (3) South Bend Fire Department, South Bend, IN, USA)
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.
中文翻译:
下一代人机合作伙伴关系:共同设计应急响应系统
使用半自主无人机 (UAV) 支持紧急响应场景,例如火灾监视和搜救,具有巨大的社会效益潜力。然而,在这个复杂的领域设计一个有效的解决方案代表了一个“邪恶的设计”问题,需要在与无人机自主性与人类控制、任务功能与安全性以及不同利益相关者的多样化需求相关的权衡之间谨慎平衡。本文重点介绍使用场景驱动的参与式设计过程来设计态势感知 (SA)。我们开发了 SA 卡片,描述了六个常见的设计问题,称为 SA 恶魔,以及三个对我们的领域很重要的新恶魔。然后,我们使用这些 SA 卡为领域专家提供 SA 知识,以便他们能够更充分地参与设计过程。我们设计了一种潜在的可重用解决方案,用于在多利益相关者、多无人机、应急响应应用中实现 SA。
更新日期:2020-09-23
中文翻译:
下一代人机合作伙伴关系:共同设计应急响应系统
使用半自主无人机 (UAV) 支持紧急响应场景,例如火灾监视和搜救,具有巨大的社会效益潜力。然而,在这个复杂的领域设计一个有效的解决方案代表了一个“邪恶的设计”问题,需要在与无人机自主性与人类控制、任务功能与安全性以及不同利益相关者的多样化需求相关的权衡之间谨慎平衡。本文重点介绍使用场景驱动的参与式设计过程来设计态势感知 (SA)。我们开发了 SA 卡片,描述了六个常见的设计问题,称为 SA 恶魔,以及三个对我们的领域很重要的新恶魔。然后,我们使用这些 SA 卡为领域专家提供 SA 知识,以便他们能够更充分地参与设计过程。我们设计了一种潜在的可重用解决方案,用于在多利益相关者、多无人机、应急响应应用中实现 SA。