Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

Hannu Karvonen; Eija Honkavaara; Juha Röning; Vadim Kramar; Jukka Sassi

doi:10.1007/978-3-031-35389-5_17

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

Hannu Karvonen^*
, Eija Honkavaara
, Juha Röning
, Vadim Kramar
, Jukka Sassi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

8 Citations (Scopus)

232 Downloads (Pure)

Abstract

This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current practices to manage wildfires in Finland. Secondly, some of the current challenges and future visions about drone usage in a wildfire situation are presented. Third, a description of the key elements of the developed future ConOps for operating a drone swarm to support the combat of wildfires is given. The ConOps has been formulated based on qualitative research, which included a literature review, seven subject matter expert interviews and a workshop with 40 professionals in the domain. Many elements of this ConOps may also be applied to a variety of other swarm robotics operations than only wildfire management. Finally, as the development of the ConOps is still in its first stage, several further avenues for research and development are proposed.

Original language	English
Title of host publication	Engineering Psychology and Cognitive Ergonomics
Subtitle of host publication	20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II
Editors	Don Harris, Wen-Chin Li
Place of Publication	Cham
Publisher	Springer
Pages	235-253
ISBN (Electronic)	978-3-031-35389-5
ISBN (Print)	978-3-031-35388-8
DOIs	https://doi.org/10.1007/978-3-031-35389-5_17
Publication status	Published - 2023
MoE publication type	A4 Article in a conference publication
Event	20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Series	Lecture Notes in Computer Science
Volume	14018
ISSN	0302-9743

Conference

Conference	20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

Keywords

Drones
Concept of Operations
Human Factors
Firefighting
Wildfires

Access to Document

10.1007/978-3-031-35389-5_17

Cite this

Karvonen, H., Honkavaara, E., Röning, J., Kramar, V., & Sassi, J. (2023). Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. In D. Harris, & W.-C. Li (Eds.), Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II (pp. 235-253). Springer. https://doi.org/10.1007/978-3-031-35389-5_17

Karvonen, Hannu ; Honkavaara, Eija ; Röning, Juha et al. / Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. editor / Don Harris ; Wen-Chin Li. Cham : Springer, 2023. pp. 235-253 (Lecture Notes in Computer Science, Vol. 14018).

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title = "Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study",

abstract = "This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current practices to manage wildfires in Finland. Secondly, some of the current challenges and future visions about drone usage in a wildfire situation are presented. Third, a description of the key elements of the developed future ConOps for operating a drone swarm to support the combat of wildfires is given. The ConOps has been formulated based on qualitative research, which included a literature review, seven subject matter expert interviews and a workshop with 40 professionals in the domain. Many elements of this ConOps may also be applied to a variety of other swarm robotics operations than only wildfire management. Finally, as the development of the ConOps is still in its first stage, several further avenues for research and development are proposed.",

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author = "Hannu Karvonen and Eija Honkavaara and Juha R{\"o}ning and Vadim Kramar and Jukka Sassi",

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Karvonen, H, Honkavaara, E, Röning, J, Kramar, V & Sassi, J 2023, Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. in D Harris & W-C Li (eds), Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. Springer, Cham, Lecture Notes in Computer Science, vol. 14018, pp. 235-253, 20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-35389-5_17

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. / Karvonen, Hannu; Honkavaara, Eija; Röning, Juha et al.
Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. ed. / Don Harris; Wen-Chin Li. Cham: Springer, 2023. p. 235-253 (Lecture Notes in Computer Science, Vol. 14018).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

AU - Karvonen, Hannu

AU - Honkavaara, Eija

AU - Röning, Juha

AU - Kramar, Vadim

AU - Sassi, Jukka

PY - 2023

Y1 - 2023

N2 - This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current practices to manage wildfires in Finland. Secondly, some of the current challenges and future visions about drone usage in a wildfire situation are presented. Third, a description of the key elements of the developed future ConOps for operating a drone swarm to support the combat of wildfires is given. The ConOps has been formulated based on qualitative research, which included a literature review, seven subject matter expert interviews and a workshop with 40 professionals in the domain. Many elements of this ConOps may also be applied to a variety of other swarm robotics operations than only wildfire management. Finally, as the development of the ConOps is still in its first stage, several further avenues for research and development are proposed.

AB - This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current practices to manage wildfires in Finland. Secondly, some of the current challenges and future visions about drone usage in a wildfire situation are presented. Third, a description of the key elements of the developed future ConOps for operating a drone swarm to support the combat of wildfires is given. The ConOps has been formulated based on qualitative research, which included a literature review, seven subject matter expert interviews and a workshop with 40 professionals in the domain. Many elements of this ConOps may also be applied to a variety of other swarm robotics operations than only wildfire management. Finally, as the development of the ConOps is still in its first stage, several further avenues for research and development are proposed.

KW - Drones

KW - Concept of Operations

KW - Human Factors

KW - Firefighting

KW - Wildfires

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U2 - 10.1007/978-3-031-35389-5_17

DO - 10.1007/978-3-031-35389-5_17

M3 - Conference article in proceedings

SN - 978-3-031-35388-8

T3 - Lecture Notes in Computer Science

SP - 235

EP - 253

BT - Engineering Psychology and Cognitive Ergonomics

A2 - Harris, Don

A2 - Li, Wen-Chin

PB - Springer

CY - Cham

T2 - 20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023

Y2 - 23 July 2023 through 28 July 2023

ER -

Karvonen H, Honkavaara E, Röning J, Kramar V , Sassi J. Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. In Harris D, Li WC, editors, Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. Cham: Springer. 2023. p. 235-253. (Lecture Notes in Computer Science, Vol. 14018). doi: 10.1007/978-3-031-35389-5_17

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

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