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AAWSAP DIRD, Cognitive Limits on Simultaneous Control of Multiple Unmanned Spacecraft, December 2010

U.S. Department of War · 2010-12-15 · 31 pages · text from the file's own layer

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.

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Chapter 5: Discussion
We have insight into the maximum number of tracked objects in a multiple space
vehicle piloting experiment: it depends greatly on the complexity of the piloting and
mission tasks. Brookings showed that in the ATC task, mild complexity affected
performance even for a little as six planes being tracked by professional controllers,
whereas these controllers regularly track up to ten. Ruff showed that when there is
uncertainty in the augmentation system, a maximum of four craft can be controlled and
tasked to complete missions. The number of four is consistent with standard estimates
of human working memory being able to handle three to five disparate objects at a
time. This implies that disparate, complex interfaces require resources from working
memory to prevent loss of the big picture.
Augmentation of the human capabilities mainly appears to be helping to maintain a
higher number of working memory registers. Whether it is the handwritten blocks for
the ATCs, the stored instructions for the Dixon study, or the dual displays of Cummings,
the most effective augmentations in the studies above hold information for quick visual
retrieval that the brain would otherwise keep in working memory.
Any external automation system to assist the operator in making decisions will have an
associated error rate. It was also shown in the ATC and piloting tasks that alerts need
to contain a level of noise (false alarms) of 20-25% to avoid automation bias.
Regard ing where the future of th is work is headed, it is certain that the field is just
getting started. Apollo spacecraft required dozens of ground operators to mon itor for
system failures, and just a few years ago it required two soldiers to operate a simple
reconnaissance drone (most of them sti ll do). It is fortunate that ATC and UAV control
appear to be extremely applicable to the initial direction of remote space vehicle
operations. The 5-year timeframe should see spacecraft-specific simulator studies begin
to appear in major peer-reviewed journals.
The major advance to come in developing augmented human capability to pilot multiple
spacecraft will be in understanding the cognitive organization of multitasking. With
brain imaging it has been shown that multiple resource theory seems to follow the
anatomical organization of the brain. In the next 40 years we will find out why the
functional studies in multiple task completion don't seem to follow the predictions of
multiple resource theory.
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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.