Open AccessOptimizing the mutual arrangement of pilot indicators on an aircraft dashboard and analysis of this procedure from the viewpoint of quantum representations
Author(s) -
L S Kuravsky,
I.I. Greshnikov
Publication year - 2021
Publication title -
istraživanja i projektovanja za privredu
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.25
H-Index - 13
eISSN - 1821-3197
pISSN - 1451-4117
DOI - 10.5937/jaes0-31855
Subject(s) - dashboard , computer science , gaze , similarity (geometry) , multidimensional scaling , matrix (chemical analysis) , eye tracking , work (physics) , cockpit , probability distribution , human–computer interaction , data mining , artificial intelligence , machine learning , data science , engineering , mathematics , statistics , image (mathematics) , mechanical engineering , materials science , composite material , aerospace engineering
The purpose of this work is to present the first attempt to provide quantitative analysis and objective justification for designers' decisions that relate to the arrangement of pilot indicators on an aircraft dashboard with the use of video oculography measurements. To date, such decisions have been made only based on the practical experience accumulated by designers and subjective expert assessments. A new method for optimizing the mutual arrangement of the dashboard indicators is under consideration. This is based on iterative correction of the gaze transition probability matrix between the selected zones of attention, to minimize the difference between the stationary distribution of relative frequencies of gaze that are staying in these zones and the corresponding desirable target eye movements that are given for distribution for qualified pilots. When solving the subsequent multidimensional scaling problem, the gaze transition probability matrix that is obtained is considered to be the similarity matrix, the elements of which quantitatively characterize the proximity between the zones of attention. The main findings of this novel work are as follows: the use of oculography data to justify dashboard design decisions, the optimizing method itself, and its mathematical components, as well as analysis of the optimization in question from the viewpoint of quantum representations, all revealed design mistakes. The results that were obtained can be applied for prototyping variants of aircraft dashboards by rearranging the display areas associated with the corresponding zones of attention.