The impact of personality traits on automation complacency in human‐machine collaborative systems

Abstract This study investigates the impact of five personality traits of operators on automation complacency within human‐machine collaborative systems. The aim is to provide a basis for the design of human‐machine collaborative systems, thereby optimizing the systems to accommodate users with different personality traits and improving the safety and efficiency of collaboration. An experiment was conducted on the OpenMATB (Open‐source Multi‐Attribute Task Battery) platform, collecting data on personality traits, automation complacency scale scores, task performance metrics, and EEG (Electroencephalography) data from 48 participants. The analysis revealed that individuals with low conscientiousness, high openness, and low agreeableness are more likely to exhibit automation complacency. Conversely, individuals with low neuroticism and extraversion did not show significant differences in automation complacency.