elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Human Machine Interface Design to Support Safety Risk Monitoring of Autonomous Small Unmanned Aircraft Systems - Results from a Mock-Up Evaluation

Friedrich, Max (2021) Human Machine Interface Design to Support Safety Risk Monitoring of Autonomous Small Unmanned Aircraft Systems - Results from a Mock-Up Evaluation. In: 40th AIAA/IEEE Digital Avionics Systems Conference, DASC 2021. 40th AIAA/IEEE Digital Avionics Systems Conference (DASC) 2021, 03.-07.10.2021, San Antonio, Texas, USA (online). ISSN 2155-7195.

Full text not available from this repository.

Abstract

Numerous research papers propose the operation of highly automated or autonomous small Unmanned Aircraft Systems (UAS) in low-altitude urban airspace. However, the operation of autonomous UAS introduces safety risks, such as unsafe proximity to people and property or collision with other traffic and obstacles. In order to approach these safety risks, technical means were proposed, including geo-fencing systems and autonomous collision avoidance systems. Humans will most likely stay an essential component in assuring safety during autonomous UAS operations, analyzing and supervising the output of the technical safety assurance systems. In a previous study, a Human Machine Interface (HMI) was developed, aiming to comprehensively visualize information stemming from the aforementioned safety assurance systems. The HMI enables an operator to simultaneously supervise multiple autonomous UAS in low-altitude urban airspace. An evaluation of the HMI was conducted with an online study using mock-ups of the HMI. Seven UAS pilots took part in the evaluation study and completed four experimental scenarios. This paper focuses on the usability and acceptability of the HMI. Further, its main advantages, disadvantages and suggestions for improvement obtained in an online questionnaire are presented. The findings of the evaluation show satisfying results for usability and acceptability. Even though, various suggestions for improvement of the HMI were obtained. Based on the results, the HMI will be improved for future studies and will ultimately be integrated into a simulation environment.

Item URL in elib:https://elib.dlr.de/143133/
Document Type:Conference or Workshop Item (Speech)
Title:Human Machine Interface Design to Support Safety Risk Monitoring of Autonomous Small Unmanned Aircraft Systems - Results from a Mock-Up Evaluation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Friedrich, MaxMax.Friedrich (at) dlr.dehttps://orcid.org/0000-0002-7103-3753
Date:2021
Journal or Publication Title:40th AIAA/IEEE Digital Avionics Systems Conference, DASC 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
ISSN:2155-7195
Status:Published
Keywords:human machine interface, unmanned aircraft systems, interface evaluation
Event Title:40th AIAA/IEEE Digital Avionics Systems Conference (DASC) 2021
Event Location:San Antonio, Texas, USA (online)
Event Type:international Conference
Event Dates:03.-07.10.2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Integrated Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Pilot Assistance
Deposited By: Friedrich, Max
Deposited On:17 Nov 2021 08:18
Last Modified:10 Feb 2022 08:48

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.