Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control

Discrete-event simulations for futuristic unmanned vehicle (UV) systems enable a cost- and time-effective methodology for evaluating various autonomy and human-automation design parameters. Operator mental workload is an important factor to consider in such models. We suggest that the effects of ope...

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Bibliographic Details
Published inIEEE transactions on systems, man and cybernetics. Part A, Systems and humans Vol. 40; no. 6; pp. 1180 - 1190
Main Authors Donmez, B, Nehme, C, Cummings, M L
Format Journal Article
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Attention allocation
Computer simulation
Delay
Discrete event simulation
Humans
Inclusions
Mathematical models
operator utilization (UT)
Operators
Performance evaluation
queuing theory
Real time systems
Remotely operated vehicles
Robots
simulation
Supervisory control
System performance
Time measurement
Unmanned vehicles
unmanned vehicles (UVs)
Utilization
Workload
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Summary:Discrete-event simulations for futuristic unmanned vehicle (UV) systems enable a cost- and time-effective methodology for evaluating various autonomy and human-automation design parameters. Operator mental workload is an important factor to consider in such models. We suggest that the effects of operator workload on system performance can be modeled in such a simulation environment through a quantitative relation between operator attention and utilization, i.e., operator busy time used as a surrogate real-time workload measure. To validate our model, a heterogeneous UV simulation experiment was conducted with 74 participants. Performance-based measures of attention switching delays were incorporated in the discrete-event simulation model by UV wait times due to operator attention inefficiencies (WTAIs). Experimental results showed that WTAI is significantly associated with operator utilization (UT) such that high UT levels correspond to higher wait times. The inclusion of this empirical UT-WTAI relation in the discrete-event simulation model of multiple UV supervisory control resulted in more accurate replications of data, as well as more accurate predictions for alternative UV team structures. These results have implications for the design of future human-UV systems, as well as more general multiple task supervisory control models.
Bibliography:ObjectType-Article-2
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ISSN:1083-4427
1558-2426
DOI:10.1109/TSMCA.2010.2046731