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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/ /POR. err1e11tt U.!E! 614[ I References 1 Hart, S. G. & Staveland, L. E. in Human Mental Workload, eds Peter A. Hancock & N Meshkati) 139- 183 (North Holland, 1988). 2 Hart, S. G. NASA Task Load Index (TLX): 20 Years Later, (2006). 3 Hart, S. G. & Staveland, L. E. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research, (1987) . 4 Reid, G. B., Shingledecker, C. A. & Eggemeier, F. T. in Human Factors Society 25th annual meeting. 522-526 (Human Factors Society). 5 Cummings, M. L. & Mitchell, P. J. Operator scheduling strategies in supervisory control of multiple UAVs. Aerospace Science and Technology 11, 339-348, doi: 10.1016/j.ast.2006.10.007 (2007). 6 Graydon, F. X. et al. Visual event detection during simulated driving: Identifying the neural correlates with functional neuroimaging. Transportation Research Part F-Traffic Psychology and Behaviour 7, 271-286, doi:10.1016/j.trf.2004.09.006 (2004). 7 Kandel, E. R., Schwartz, J. H. & Jessell, T. M. Principles of neural science. 4th edn, (McGraw-Hill, Health Professions Division, 2000). 8 Jennings, J. R., Stringfellow, J. C. & Graham, M. A comparison of the statistical distributions of beat-by-beat heart rate and heart period. Psychophysiology 11, 207-210 (1974). 9 Porges, S. W. & Byrne, E. A. Research methods for measurement of heart rate and resp iration. Biol Psycho/ 34, 93-130 (1992). 10 Mulder, L. J. Measurement and analysis methods of heart rate and respiration for use in applied environments. Biol Psycho/ 34, 205-236 (1992). 11 Steptoe, A. & Sawada, Y. Assessment of baroreceptor reflex function during mental stress and relaxation. Psychophysiology 26, 140-147 (1989). 12 Genik, R. J., 2nd, Green, C. C., Graydon, F. X. & Armstrong, R. E. Cognitive avionics and watching spaceflight crews think: generation-after-next research tools in functional neuroimaging. Aviat Space Environ Med 76, B208-212 (2005). 13 Warm, J. S., Parasuraman, R. & Matthews, G. Vigilance requires hard mental work and is stressful. Hum Factors 50, 433-441 (2008). 14 Dussault, C., Jouan in, J.C., Philippe, M. & Guezennec, C. Y. EEG and ECG changes during simulator operation reflect mental workload and vigilance. Aviat Space Environ Med 76, 344-351 (2005). 15 Kramer, A. F., Trejo, L. J. & Humphrey, D. Assessment of mental workload with task-irrelevant auditory probes. Biol Psychol 40, 83-100, doi:0301- 0511(95)05108-2 [pii] (1995). 16 Backs, R. W. & Walrath, L. C. Eye movement and pupillary response indices of mental workload during visual search of symbolic displays. Appl Ergon 23, 243- 254, doi:000368709290152L [pii] (1992). 17 Freedman, L. W. et al. The relationship of sweat gland count to electrodermal activity. Psychophysiology 31, 196-200 (1994). UNCLASSIFIED/ /POK 6PPICIAL U.!E: OHL¥ 24
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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.