Trust, self-confidence and supervisory control in a process control simulation

The authors investigate the relationship between trust, self-confidence and allocation of function during an interaction with a simulated semiautomatic pasteurization plant. The results illustrate how trust in the automatic controllers and self-confidence in manual control combine to influence the operators´ allocation strategy. Specifically, an autoregressive moving average vector (ARMAV) time series model of the dynamic interaction of trust and self-confidence accounts for between 60.9% and 86.5% of the variance in the use of three automatic controllers. This model of operator allocation of function provides a starting point for a more complete understanding of the factors mediating operator allocation of function in a supervisory control situation