To address the issue of driving risks caused by software interaction of commercial vehicles during the driving process, the work aims to propose a method based on objective data analysis for human-computer interaction evaluation of commercial vehicle software. 22 participants were recruited to conduct an experience evaluation experiment on human-computer interaction in vehicle software. Objective data such as eye movements and finger movements were collected by an eye tracker and finger tracking system during the completion of designated operational tasks, and subjective evaluation values were collected by a psychological scale. A one-way ANOVA was conducted on objective data to screen out objective behavioral data indicators related to subjective evaluation. A regression model for evaluating the human-computer interaction experience of commercial vehicle software based on objective behavioral data was established and validated, with an accuracy rate of 0.782. Objective behavioral data can provide a comprehensive evaluation of the human-computer interaction experience of vehicle software, and the evaluation results can provide data basis for improving the interaction design of vehicle software, which is of great significance to the driving safety of commercial vehicles.