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Remote Control Towers: Detectability of Flight Maneuvers and Risk of False Decisions Derived from Dual Choice Decision Errors in a Videopanorama-based Controller Work Position

Fürstenau, Norbert und Friedrich, Maik und Mittendorf, Monika und Schmidt, Markus und Rudolph, Michael (2013) Remote Control Towers: Detectability of Flight Maneuvers and Risk of False Decisions Derived from Dual Choice Decision Errors in a Videopanorama-based Controller Work Position. In: Springer Lecture Notes in Computer Science / Artificial Intelligence. Springer, Berlin, Heidelberg, New York. Human Computer Interaction HCI International 2013: Engineering Psychology and Cognitive Ergonomics, USA.

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Kurzfassung

Future remote control of small low traffic airports (Remote Tower Operation, RTO) will rely on the replacement of the conventional control tower out-of-windows view by a panoramic digital reconstruction with high resolution and pan-tilt zoom video cameras as basic sensor system (e.g.[1][2][3]). State of the art technology for a digital videopanorama is presently limited by a visual resolution of typically 1/30° (2 arcmin) per pixel (UXGA and HD-format camera technology, 4 - 5 cameras with 45 - 60° vertical field-of-view and 180° - 200° horizontal panorama, focal width of 8 – 13 mm,) under good visibility conditions. This optimistic theoretical value which does not include contrast effects (i.e. modulation transfer function) is about half as good as the diffraction limited resolution of the human eye (1 arcmin = 1/60°). Here we show that even with the use of a manually controlled pan-tilt (analog) zoom camera (PTZ with PAL TV-resolution, selectable zoom factor setting Z = 2 - 16, viewing angle 26° - 3°) experiments under operational conditions indicate a significant increase of decision errors under RTO as compared to the out-of-windows view in the conventional control tower, and we quantify the corresponding discrimination difference by means of detection theory. As part of an operational passive shadow-mode test [4,5] eight air-traffic controllers observed various flight-maneuvers during airport circling (left Figure), like bank angle and altitude changes, and gear-up / gear-down situations. The response matrix of two-alternative decision tasks as obtained by measuring the hit (H) and false alarm (FA) rates when reporting, e.g. gear-up vs. gear-down situation during approach, were analysed using Bayes inference and detection theory with graphical presentation through ROC-curves. The latter method in principle allows for separating discriminability from response bias and was previously successfully used for deriving a video framerate requirement that minimizes prediction errors in a simulated landing scenario [6][7]. An example is shown in the right Figure. The present analysis provides an initial estimate of the increase of decision errors under RTO conditions quantified by a discriminability (d’-) decrease by a factor of up to 3 as a worst case, as compared to the conventional tower condition. A Bayes inference analysis based on the same measured H and FA conditional (a priori) probabilities provides a corresponding increase for risk of false decisions. This finding may be related to the factor 2 reduction of video camera pixel resolution (optimistic value, neglecting contrast) as compared to the visual resolution of the human eye. Theoretically, without regarding diffraction (iris effect!) and contrast limitations, with Z > 4 the PTZ should provide an improvement down to sub 1 arcmin (pixel) resolution, the limit of gear-down detectability at distance 2.5 km. In practice, however it appears not sufficient with manual PTZ control. However, the discriminability decrease under RTO work conditions might be reduced by selecting advanced HD-camera technology also for the PTZ together with usage of automatic zoom camera tracking via image processing or Modes-S data fusion, and by improved operator training.

elib-URL des Eintrags:https://elib.dlr.de/79502/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Remote Control Towers: Detectability of Flight Maneuvers and Risk of False Decisions Derived from Dual Choice Decision Errors in a Videopanorama-based Controller Work Position
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Fürstenau, Norbertnorbert.fuerstenau (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Friedrich, MaikMaik.Friedrich (at) dlr.dehttps://orcid.org/0000-0003-3742-2322NICHT SPEZIFIZIERT
Mittendorf, Monikamonika.mittendorf (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schmidt, Markusmarkus.schmidt (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Rudolph, Michaelmichael.rudolph (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Juli 2013
Erschienen in:Springer Lecture Notes in Computer Science / Artificial Intelligence
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Verlag:Springer, Berlin, Heidelberg, New York
Name der Reihe:Lecture Notes in Computer Science
Status:veröffentlicht
Stichwörter:Remote Tower, decision task, flight maneuvers, decision errors, detectability, false decision, risk, Bayes inference, detection theory
Veranstaltungstitel:Human Computer Interaction HCI International 2013: Engineering Psychology and Cognitive Ergonomics
Veranstaltungsort:USA
Veranstaltungsart:internationale Konferenz
Veranstalter :HCI International
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:ATM und Flugbetrieb (alt)
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AO - Luftverkehrsmanagement und Flugbetrieb
DLR - Teilgebiet (Projekt, Vorhaben):L - Faktor Mensch und Sicherheit in der Luftfahrt (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugführung > Systemergonomie
Hinterlegt von: Fürstenau, Dr.phil.nat. Norbert
Hinterlegt am:23 Jan 2013 10:33
Letzte Änderung:29 Mär 2023 00:16

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