This study aims to investigate the impact of analog and digital data types on human information cognition and the effective design of gauge cluster displays. To achieve this, experiments were conducted with analog and digital displays of the gauge cluster. Initially, the experiment involved a computer screen simulation of driving with an eye-tracking device to analyze eye movements. The Gaze-point Analysis software was utilized, which records and analyzes eye movements as participants watched an 85-s driving simulation with either an analog or digital display on the monitor. They took a survey right after the simulation to evaluate their attention and preference for different displays. The result showed that participants had better performance and a stronger preference for the digital display than the analog display, according to the survey result. In conclusion, the digital data type of the gauge cluster display is more effective and efficient because it performs better with shorter eye movements. These findings can contribute to improving gauge cluster designs to increase safety by understanding users’ eye movements.