Quantifying Human Interaction with Aerial Images Through Psycho-Visual Quantities

This pilot study presents a novel framework to quantify the human interaction with high-resolution aerial images on a digital display through psycho visual quantities. Many applications require the human interaction with high-resolution aerial images and therefore it is required to be understood. Considering this, the presented quantitative framework analyses correlations between visual and verbal data to examine human interaction with visually complex aerial images during interpretation. Four different correlations with respect to four visual metrics (TFF, FD, FD%, and FC) have been measured and among them, the best explained values of ‒0.64, 0.72, 0.76, and 0.69 were observed for exponential nature of correlation. These findings reveal the human interaction with complex visual stimuli can be explained by an exponential correlation between verbal and visual data. Further, the reliability of these values is demonstrated through consistency of correlation across different participant categories and sample sizes, underscoring the robustness of the results.