Reducing Drone Incidents by Incorporating Human Factors in the Drone and Drone Pilot Accreditation Process

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Considering the ever-increasing use of drones in a plentitude of application areas, the risk is that also an ever-increasing number of drone incidents would be observed. Research has shown that a large majority of all incidents with drones is due not to technological, but to human error. An advanced risk-reduction methodology, focusing on the human element, is thus required in order to allow for the safe use of drones. In this paper, we therefore introduce a novel concept to provide a qualitative and quantitative assessment of the performance of the drone operator. The proposed methodology is based on one hand upon the development of standardized test methodologies and on the other hand on human performance modeling of the drone operators in a highly realistic simulation environment.

Original languageEnglish
Title of host publicationAdvances in Human Factors in Robots, Drones and Unmanned Systems - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Robots, Drones and Unmanned Systems
EditorsMatteo Zallio
Place of PublicationSan Diego, USA
PublisherSpringer
Pages71-77
Number of pages7
ISBN (Print)9783030517571
DOIs
Publication statusPublished - 2021
EventAHFE Virtual Conference on Human Factors in Robots, Drones and Unmanned Systems, and the International Conference on Human Factors in Cybersecurity, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1210 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conference on Human Factors in Robots, Drones and Unmanned Systems, and the International Conference on Human Factors in Cybersecurity, 2020
Country/TerritoryUnited States
CitySan Diego
Period16/07/2020/07/20

Keywords

  • Drones
  • Human factors
  • Performance analysis

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