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Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial

Li, Moyi; Katsiuba, Dzmitry; Dolata, Mateusz; Schwabe, Gerhard (2024). Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial. In: CHI '24: CHI Conference on Human Factors in Computing Systems, Honolulu, USA, 11 May 2024 - 16 May 2024. ACM Digital library, 265.

Abstract

Applications of drones in emergency response, like firefighting, have been promoted in the past decade. As the autonomy of drones continues to improve, the ways in which they are integrated into firefighting teams and their impact on crews are changing. This demands more understanding of how firefighters perceive and interact with autonomous drones. This paper presents a drone-based system for emergency operations with which firefighters can interact through sound, lights, and a graphical user interface. We use interviews with stakeholders collected in two field trials to explore their perceptions of the interaction and collaboration with drones. Our result shows that firefighters perceived visual interaction as adequate. However, for audio instructions and interfaces, information overload emerges as an essential problem. The potential impact of drones on current work configurations may involve shifting the position of humans closer to supervisory decision-makers and changing the training structure and content.

Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Uncontrolled Keywords:Firefighting, Autonomous drone, Emergency intervention, Field trial
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:16 May 2024
Deposited On:21 May 2024 08:32
Last Modified:30 May 2024 08:44
Publisher:ACM Digital library
Series Name:Proceedings of the CHI Conference on Human Factors in Computing Systems
ISBN:979-8-4007-0330-0
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3613904.3642061
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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