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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, 2021-10-03 - 2021-10-07, San Antonio, Texas, USA (online). doi: 10.1109/dasc52595.2021.9594511. ISSN 2155-7195.

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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/143133/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Human Machine Interface Design to Support Safety Risk Monitoring of Autonomous Small Unmanned Aircraft Systems - Results from a Mock-Up Evaluation
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Friedrich, MaxMax.Friedrich (at) dlr.dehttps://orcid.org/0000-0002-7103-3753NICHT SPEZIFIZIERT
Datum:2021
Erschienen in:40th AIAA/IEEE Digital Avionics Systems Conference, DASC 2021
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1109/dasc52595.2021.9594511
ISSN:2155-7195
Status:veröffentlicht
Stichwörter:human machine interface, unmanned aircraft systems, interface evaluation
Veranstaltungstitel:40th AIAA/IEEE Digital Avionics Systems Conference (DASC) 2021
Veranstaltungsort:San Antonio, Texas, USA (online)
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:3 Oktober 2021
Veranstaltungsende:7 Oktober 2021
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehr und Auswirkungen
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AI - Luftverkehr und Auswirkungen
DLR - Teilgebiet (Projekt, Vorhaben):L - Integrierte Flugführung
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugführung > Pilotenassistenz
Hinterlegt von: Friedrich, Max
Hinterlegt am:17 Nov 2021 08:18
Letzte Änderung:24 Apr 2024 20:42

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