Impact of automated decision aids on performance, operator behaviour and workload in a simulated supervisory control task.
In studies reporting automation effects on overall system performance and on the operator, the methods used to measure workload often did not appropriately reflect the complexity of this construct. The present study addresses the impact of automation on operator workload and behaviour in process control fault management. Workload effects were assessed with subjective, cardiovascular and secondary task performance indicators. Interactions with the interface of the process control simulation directed at gathering information and controlling the system were recorded. Automation made operators more efficient, allowing faster fault management with less information sampling and control actions. Subjective workload ratings were significantly lower in the assisted conditions as compared to manual, which was not reflected in cardiovascular and secondary task measures. Participants' information sampling activity did not differ between medium and high level of automation. Results suggest that participants paid constantly high attention to their task even with highly automated support.
Röttger
Stefan
S
Berlin Institute of Technology, Berlin, Germany. stefan.roettger@tu-berlin.de
Bali
Krisztina
K
Manzey
Dietrich
D
D000223:Adaptation, Psychological; D000328:Adult; D000704:Analysis of Variance; D001331:Automation / Q000706:statistics & numerical data*; D002681:China; D003071:Cognition; D003198:Computer Simulation / Q000706:statistics & numerical data*; D003661:Decision Support Techniques; D005260:Female; D006339:Heart Rate; D006801:Humans; D006814:Hungary; D008297:Male; D008328:Man-Machine Systems; D013647:Task Performance and Analysis; D014481:United States; D014584:User-Computer Interface; D016526:Workload / Q000706:statistics & numerical data*