Abstract:

To investigate the key influencing factors and action mechanisms of decision-making behavior among special vehicle crew members during fire control tasks, the tasks were decomposed into three stages—target perception, situation assessment, and firepower decision-control—based on the information processing workflow. A multi-factor influence path model was constructed by integrating AHP and Bayesian-SEM. Through literature analysis and task decomposition, nine preliminary influencing factors were extracted from the endogenous and exogenous dimensions. Four key variables were screened using the AHP method combined with evaluations from five experts. These variables included time pressure, information dynamics, task complexity, and psychological stress. Based on 235 valid questionnaire responses, a Bayesian-SEM model was established. Parameters were estimated using Markov Chain Monte Carlo sampling. The cross-group stability of the model was verified through multi-group testing. The results show that dynamics changes in information have significant positive effects on both psychological stress and time pressure. A negative association is observed between task complexity and time pressure. Thus an atypical pathway of "task complexity → time pressure → decision-making level" is formed. Psychological stress has a positive effect on decision-making level. Time pressure has a negative effect on decision-making level. Compared with traditional SEM, Bayesian-SEM has smaller standard errors and better stability in parameter estimation under limited sample conditions.

Key words: occupants of special vehicles, Bayesian structural equation modeling (Bayesian-SEM), fire control mission, analytic hierarchy process (AHP), influencing factors of decision-making behavior