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Defense Intelligence Reference Document Cognitive Limits On Simultaneous Control Of Multiple Unmanned Spacecraft

Defense Intelligence Agency · 31 pages · text from the file's own layer

This Defense Intelligence Reference Document, dated 15 December 2010, is a Defense Intelligence Agency report from its Advanced Aerospace Weapons System Applications (AAWSA) Program. It looks at how many unmanned spacecraft one human pilot could control during future deep-space missions, drawing on research into air traffic control and piloting of multiple unmanned vehicles. It concludes that the limits are about 16 craft for simple tasks, 7 for moderately complex tasks and 4 for complex mixed fleets. It adds that physiological measures can signal when an operator is overloaded.

  • p. 5 …While additional future research may help to increase the automation component of aircraft and mission control…
  • p. 6 …to possible spacecraft missions. When a pilot or ATC operator is in control of several craft…
  • p. 19 …Correlation analyses were performed with the number of aircraft the operator was currently controlling. No adjustment…
  • p. 23 …Examples of several UAVs and their primary missions are shown in Figure 6. Control of vehicles…
  • p. 27 …of four craft can be controlled and tasked to complete missions. The number of four is…
  • p. 28 …Future research may increase the automation component of aircraft and mission control, but there is no…
  • p. 31 …Mission control of multiple unmanned aerial vehicles: a workload analysis. Hum Factors 47, 479-487 (2005…
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Figure 5. Information Processing Model for a Human Operator. 37
In modeling the controllers themselves, one can look to selection efforts and find which
candidate skills are the best predictors of training success. Pre-strike data (see footnote
hon page 9) of ATC training showed that strong candidates had skills in spatial
relations, abstract reasoning, and math as well as oral decision-making. 38
In designing a model, it is tempting to engage subject matter experts (SME) to
estimate the demand of various resources within a multiple resource model of ATC.
Cohen studied SME predictions of workload within a model of 7 channels (visual
perception, auditory perception, spatial information processing, analytical information
processing, verbal information processing, manual activity and speech). The authors
concluded that using the 7-channel multiple resource model with the SME approach
doesn't work for predicting workload in the ATC task. 39
Hancock has written extensively on the multiple-resource model of cognitive task
performance under stress. He points out that functional brain imaging studies clearly
show resources are separated anatomically, providing evidence that the multiple
resource model should not be abandoned in future research. 40
One model that was proposed was that local visual distractions interfered with cockpit
ATC tasks. The model has attractiveness given the incredible complexity of cockpit
displays and the popular notion that in-vehicle distraction is the root of all evil for
automobile driving. Iona proposed that a tunnel display for in-cockpit ATC information
would reduce the effect of outside visual distraction and increase primary task
performance measures. The authors concluded that this type of augmentation has little
effect on trained professional pilots in performance of their duties. 41
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Report, from the dia collection. The PDF is mirrored here; the original link is above. 31 pages are in the text index: search them above, or from the library's search.