automation bias can be mitigated by the design of automated systems, such as reducing the prominence of the display, decreasing detail or complexity of information displayed, or couching automated assistance as supportive information rather than as directives or commands. training on an automated system, which includes introducing deliberate errors has been shown to be significantly more effective at reducing automation bias than just informing users that errors can occur. however, excessive checking and questioning automated assistance can increase time pressures and complexity of tasks thus reducing the benefits of automated assistance, so design of an automated decision support system can balance positive and negative effects rather than attempt to eliminate negative effects.