Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning

Adetayo Onososen; Innocent Musonda; Molusiwa Ramabodu; Christopher Dzuwa

doi:10.1007/978-3-031-32515-1_21

Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning

Adetayo Onososen, Innocent Musonda, Molusiwa Ramabodu, Christopher Dzuwa

Centre for Applied Research and Innovation in the Built Environment

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Drones’ adoption in the Architecture, Engineering and Construction (AEC) sector is increasing with the need for digitalizing construction processes and workflows. However, the investment cost does not match the cost of replacing drones from crashes and accompanying safety and privacy challenges resulting in litigation. Therefore, this study examines visualization technology-based training to study human-drone interaction for learning. To achieve the objectives, drones were modelled in 3D alongside a virtual construction site for participants in the experiment to perform tasks. The attached tasks gave indicators of the effectiveness of such learning platforms in drone training. The results noted that while virtual reality is excellent as a form of training, the low number of delivered items indicates the need for more training time. The findings of the study are useful for those in academia, policy-making and industry buy-in.

Original language	English
Title of host publication	Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 2
Editors	Sebastian Skatulla, Hans Beushausen
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	297-310
Number of pages	14
ISBN (Print)	9783031325144
DOIs	https://doi.org/10.1007/978-3-031-32515-1_21
Publication status	Published - 2023
Event	19th International Conference on Computing in Civil and Building Engineering, ICCCBE 2022 - Cape Town, South Africa Duration: 26 Oct 2022 → 28 Oct 2022

Publication series

Name	Lecture Notes in Civil Engineering
Volume	358 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	19th International Conference on Computing in Civil and Building Engineering, ICCCBE 2022
Country/Territory	South Africa
City	Cape Town
Period	26/10/22 → 28/10/22

Keywords

Construction safety
Human-drone interaction
Human-robot collaboration
Learning
Task performance
Virtual reality
Visualisation

ASJC Scopus subject areas

Civil and Structural Engineering

Access to Document

10.1007/978-3-031-32515-1_21

Cite this

Onososen, A., Musonda, I., Ramabodu, M., & Dzuwa, C. (2023). Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning. In S. Skatulla, & H. Beushausen (Eds.), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 2 (pp. 297-310). (Lecture Notes in Civil Engineering; Vol. 358 LNCE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-32515-1_21

Onososen, Adetayo ; Musonda, Innocent ; Ramabodu, Molusiwa et al. / Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning. Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 2. editor / Sebastian Skatulla ; Hans Beushausen. Springer Science and Business Media Deutschland GmbH, 2023. pp. 297-310 (Lecture Notes in Civil Engineering).

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title = "Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning",

abstract = "Drones{\textquoteright} adoption in the Architecture, Engineering and Construction (AEC) sector is increasing with the need for digitalizing construction processes and workflows. However, the investment cost does not match the cost of replacing drones from crashes and accompanying safety and privacy challenges resulting in litigation. Therefore, this study examines visualization technology-based training to study human-drone interaction for learning. To achieve the objectives, drones were modelled in 3D alongside a virtual construction site for participants in the experiment to perform tasks. The attached tasks gave indicators of the effectiveness of such learning platforms in drone training. The results noted that while virtual reality is excellent as a form of training, the low number of delivered items indicates the need for more training time. The findings of the study are useful for those in academia, policy-making and industry buy-in.",

keywords = "Construction safety, Human-drone interaction, Human-robot collaboration, Learning, Task performance, Virtual reality, Visualisation",

author = "Adetayo Onososen and Innocent Musonda and Molusiwa Ramabodu and Christopher Dzuwa",

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Onososen, A, Musonda, I, Ramabodu, M & Dzuwa, C 2023, Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning. in S Skatulla & H Beushausen (eds), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 2. Lecture Notes in Civil Engineering, vol. 358 LNCE, Springer Science and Business Media Deutschland GmbH, pp. 297-310, 19th International Conference on Computing in Civil and Building Engineering, ICCCBE 2022, Cape Town, South Africa, 26/10/22. https://doi.org/10.1007/978-3-031-32515-1_21

Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning. / Onososen, Adetayo; Musonda, Innocent; Ramabodu, Molusiwa et al.
Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 2. ed. / Sebastian Skatulla; Hans Beushausen. Springer Science and Business Media Deutschland GmbH, 2023. p. 297-310 (Lecture Notes in Civil Engineering; Vol. 358 LNCE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Musonda, Innocent

AU - Ramabodu, Molusiwa

AU - Dzuwa, Christopher

PY - 2023

Y1 - 2023

N2 - Drones’ adoption in the Architecture, Engineering and Construction (AEC) sector is increasing with the need for digitalizing construction processes and workflows. However, the investment cost does not match the cost of replacing drones from crashes and accompanying safety and privacy challenges resulting in litigation. Therefore, this study examines visualization technology-based training to study human-drone interaction for learning. To achieve the objectives, drones were modelled in 3D alongside a virtual construction site for participants in the experiment to perform tasks. The attached tasks gave indicators of the effectiveness of such learning platforms in drone training. The results noted that while virtual reality is excellent as a form of training, the low number of delivered items indicates the need for more training time. The findings of the study are useful for those in academia, policy-making and industry buy-in.

AB - Drones’ adoption in the Architecture, Engineering and Construction (AEC) sector is increasing with the need for digitalizing construction processes and workflows. However, the investment cost does not match the cost of replacing drones from crashes and accompanying safety and privacy challenges resulting in litigation. Therefore, this study examines visualization technology-based training to study human-drone interaction for learning. To achieve the objectives, drones were modelled in 3D alongside a virtual construction site for participants in the experiment to perform tasks. The attached tasks gave indicators of the effectiveness of such learning platforms in drone training. The results noted that while virtual reality is excellent as a form of training, the low number of delivered items indicates the need for more training time. The findings of the study are useful for those in academia, policy-making and industry buy-in.

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Onososen A, Musonda I, Ramabodu M, Dzuwa C. Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning. In Skatulla S, Beushausen H, editors, Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 2. Springer Science and Business Media Deutschland GmbH. 2023. p. 297-310. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-32515-1_21

Task Performance to Understand the Effectiveness of Visualisation Technology-Based Training for Human-Drone Interaction Learning

Abstract

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Keywords

ASJC Scopus subject areas

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