We describe two experiments that examine the concept of 3D pathway displays in a headup location for aircraft approach, landing and taxi. In both experiments, our interests focus on both guidance performance and pilot strategies in dividing, focusing and allocating attention between flight path information, to monitor for discrete events on the instrument panel (near domain) and in the world beyond (far domain). In Experiment 1, the 3D pathway HUD is compared with a conventional 2D ILS flight director HUD, and the former was found to produce substantially better flight path performance, with few or no costs to the detection of expected discrete events. Some evidence was provided for attentional tunneling of the pathway HUD inhibiting the detection of unexpected events. In Experiment 2, the pathway display was compared in a head-up and head-down location. A high level of guidance performance was maintained in both locations. There was a slight HUD cost for vertical tracking in the air, which was offset by a HUD benefit for event detection and for lateral tracking during taxi (i.e., on the ground). The collective results of both experiments are interpreted within the framework of object and space-based theories of visual attention, and point to the conclusion that pathway HUDs combine the independent advantages of both pathways and HUDs, particularly during ground operations.
Pathway HUDs: Are They Viable
2000
32 pages
Report
No indication
English
Aeronautics , Avionics , Air Transportation , Transportation Safety , Human Factors Engineering , Head up displays , Aircraft landing , Approach , Taxiing , Display systems , Performance , Pilots , Flight instruments , Flight path , Flight operations , Information systems , Airports , Detection , Attention
DataCite | 2018
|Digital HUDs for tactical aircraft
SPIE | 2006
|Reliable methods . HUDs benefit unreliable European climate
Online Contents | 1998
Digital HUDs for tactical aircraft [6225A-20]
British Library Conference Proceedings | 2006
|MEMS the word for next-gen HUDs
Automotive engineering | 2016
|