Documents / Official release
This Defense Intelligence Reference Document, DIA-08-1101-001, is dated 15 December 2010. The Defense Intelligence Agency's Defense Warning Office produced it under the Advanced Aerospace Weapons System Applications program. It asks how many unmanned spacecraft one pilot could control in a future deep-space fleet, drawing on air traffic control and multiple unmanned vehicle research. It concludes the limits are about 16 craft for simple tasks, 7 for moderately complex ones and 4 for complex heterogeneous craft. It adds that physiological measures can signal operator overload.
From the source: Release of 2026-09-18 Incident: 12/15/10, Las Vegas, Nevada. Released with redactions. This document is a Defense Intelligence Reference Document (DIRD), a technical reference format used by the Defense Intelligence Agency (DIA) to capture baseline knowledge on a specific topic for later analytic use. DIRDs are best understood as reference and synthesis products rather than as original research. It is one of 38 DIRDs produced under the Advanced Aerospace Weapon System Applications Program (AAWSAP) between 2009 and 2011. Because AAWSAP’s scope permitted a broad range of supporting topics, not every DIRD in the series directly concerns aerospace systems or future threat assessment. The following summary reflects the DIRD’s scope and framing at the time of writing and should not be read as implying current validation of the concepts discussed. This DIRD examines how many unmanned spacecraft a single human operator could realistically supervise or control at once, using research from air traffic control and multi-vehicle remote piloting as rough analogs. The report argues that the practical limit depends heavily on task complexity: about 16 craft for simple monitoring or destination assignment, about 7 for moderately complex piloting or mission tasks, and about 4 for complex heterogeneous operations. It places particular emphasis on the operator’s ability to maintain a coherent mental “big picture” of multiple vehicles at once, and it suggests that automation and external displays can help by offloading working-memory demands, though not eliminating them. The document also highlights physiological workload measures as a possible way to detect or predict operator overload in real time. Overall, it presents multi-spacecraft control as a human-factors and systems-integration problem in which progress depends on managing cognitive limits through interface design, automation, and workload monitoring.
UNCLASSIFIED/ /FAA QFFl&IAL l::ISI!! 6flt I lapses). Peiris concluded that a built-from-scratch automated system is needed to identify subtle features, especially in the low-count electrode EEG (5 electrodes). 28 In the definition of complexity, it is important to note that one should not focus entirely on a single aspect of the ATC task in the laboratory. Donald defines complexity in two aspects: task complexity independent of the event rate, and ancillary aspects of the job in a naturalistic environment. The complexity of the task as a whole needs to be considered instead of focusing on a single aspect such as monitor and detect and the rate at which this task can be completed. 29 The naturalistic environment was in fact utilized by Brookings in 1996. 30 Moreover, in situ measurements were conducted by Collet in 2009. 31 Both studies examined TLX ratings, as well as several ANS variables. Brookings additionally utilized EEG. In the Brookings study, three simulated TRACON sessions were conducted. The first session varied traffic volume between low, medium and high levels, while the second session varied task complexity at a constant rate of aircraft. The third scenario was conducted with an overwhelming number of aircraft, the goal being to take physiological data in the condition where situational awareness is lost. k The traffic load variance session lasted 45 minutes with three 15-minute sessions where the controller was required to handle 6, 12, and 18 aircraft; the order of presentation was counterbalanced across subjects. Other complexity factors, such as the ratio of overflights, arrivals, and departures, were kept constant. In the complexity variation session, the number of aircraft was kept constant at 12, while various complicating factors were modulated. Changing complexity factors included: • Altering the ratio of arriving to departing and flyover traffic. • Changing the probability that a pilot didn't hear or failed to execute a controller's instruction. • Increasing or decreasing the heterogeneity of aircraft type. In the overload session, 15 aircraft were presented in 5 minutes. Physiological variables monitored included heart activity using two electrodes on the chest, EOG using electrodes around the eyes,1 respiration using elastic transducer bands, and 19 channels of EEG using a cap outfitted with a standard 10-20 configuration.m Task performance points were awarded for successfully handing aircraft, minus any points for operational errors such as separation conflicts, hand-off errors, and missed approaches. TLX ratings were recorded between workload conditions during a designed 1-minute lull in traffic. The simulation was considered quite difficult, even for professional Air Force ATC, and participants were required to practice until they didn't k I n colloqu ial terms, ATC call this " losing the picture." 1 Electrodes are pointed out here as more recent methodology could use infra-red optical devices to record heart and ocular activity. m The standard 10- 20 configuration refers to electrodes every 10%/20% of the total distance between right left/anterior-posterior anatomical markers. A 10- 10 configuration would include twice the electrodes, etc. UNCLASSIFIED/ /FOA 8FFI&IAL l::ISI!! 8HLY 12
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Official release, from the pursue 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.