Assessing Gender Perception Differences in Color Combinations in Digital Visual Interfaces Using Eye tracking – The Case of HUD

Abstract

To examine the cognitive gender differences of color combinations in the visual system in the digital visualization interface, we simulate six common driving scenarios with a head-up display (HUD) and process adaptive and multicolor coding forms, and then analyze the cognitive patterns and visual characteristics of HUD color combinations by men and women through eye-tracking experiments based on quantitative color extraction. The achieved results reveal that there exist gender cognitive differences in users’ search performance and cognitive efficiency of HUD color combination vision. Additionally, through cognitive experiments and data analysis, we extract three cognitive evaluation latitudes of interface color combinations, namely discriminability, perceptibility, and cognitive performance, and develop a cognitive evaluation model of interface color combinations. This investigation aims to provide useful guidelines for digital visual interface designers to better meet the requirements of users of various genders, enhancing the safety and efficiency of color combination design.