Using Relative Position and Temporal Judgments to Assess the Effects of Texture and Field of View on Spatial Awareness for Synthetic Vision Systems Displays
Author(s) -
Matthew L. Bolton,
Ellen J. Bass,
James R. Comstock
Publication year - 2006
Publication title -
proceedings of the human factors and ergonomics society annual meeting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 43
eISSN - 1541-9312
pISSN - 1071-1813
DOI - 10.1177/154193120605000116
Subject(s) - terrain , elevation (ballistics) , computer vision , artificial intelligence , field of view , computer science , texture (cosmology) , spatial contextual awareness , magnitude (astronomy) , position (finance) , geography , mathematics , cartography , image (mathematics) , physics , geometry , finance , astronomy , economics
Synthetic Vision Systems (SVS) depict computer generated views of terrain surrounding an aircraft. In the assessment of textures and field of view (FOV) for SVS, no studies have directly measured the 3 levels of spatial awareness: identification of terrain, its relative spatial location, and its relative temporal location. This work introduced spatial awareness measures and used them to evaluate texture and FOV in SVS displays. Eighteen pilots made 4 judgments (relative angle, distance, height, and abeam time) regarding the location of terrain points displayed in 112 5-second, non-interactive simulations of a SVS heads down display. Texture produced significant main effects and trends for the magnitude of error in the relative distance, angle, and abeam time judgments. FOV was significant for the directional magnitude of error in the relative distance, angle, and height judgments. Pilots also provided subjective terrain awareness ratings that were compared with the judgment based measures. The study found that elevation fishnet, photo fishnet, and photo elevation fishnet textures best supported spatial awareness for both the judgments and the subjective awareness measures.
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