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/ /FOR QFFI&iIAk WS& 8,.klf Chapter 1: Introduction Due to the complexity, duration and numerous support requirements of future manned deep-space missions involving exploration, mineral exploitation, and possible colonization, a likely scenario will be the inclusion of unmanned fleets of support craft. Coupled with other requirements, an intensive research program is needed to investigate the cognitive limits on pilots and other operators responsible for the simultaneous control of multiple unmanned spacecraft making up the support fleet; a "fleet' approach is proposed in an effort to optimize safety and exploratory reach. This research effort would also aim at maximizing the functional efficiency of the mission and reducing the operation costs of unmanned vehicle fleets. In this scenario there is much about the ancillary craft that are automated in both navigation and mission. Many of them will not require full-time piloting but given that they could be hundreds of miles from each other at any instant of time, they need monitoring to prevent unseen system failure or collision from letting them just disappear one day during the mission like a Martian probe. Accomplishing this monitoring task and the occasional piloting task for multiple craft in the fleet could be economically accomplished if only one remote pilot on station at a time was necessary. We will focus here on the cognitive limitation of a human astronaut to perform the multiple-vehicle piloting task. It is not a surprise that there is little work in this specific area - in fact there were zero peer-reviewed articles in the major journals concerning remote piloting of multiple spacecraft (published in the last 30 years). There is however, a large body of cognitive research on the limitations of object supervision and tracking for the task of air traffic control (ATC). There is additionally an emerging body of research concerned with multiple unmanned vehicle piloting for heterogeneous missions. These are the two areas reviewed in detail as they relate to possible spacecraft missions. When a pilot or ATC operator is in control of several craft they have developed an internal mental representation of the identity, position, mission, and current direction of each object tracked. This is referred to colloquially as "the big picture." This mental representation is also called situational awareness. Keeping all of the information about all of the objects straight as long as they are in scope is the goal. The primary research question we seek to answer is whether there is a cognitive limit to the number of moving objects that can be maintained in the big picture. Secondary questions are whether this maximum number is limited by complexity, how those limitations might be described, whether there is a real-time objective measure that will indicate when a pilot is approaching their maximum capacity, and whether that capacity has been overloaded. For the current treatise we will consider only traditional humans as pilots. Cyborg enhanced astrobots are a topic for another tome. In discussing cognitive limitations, it is useful to introduce the concepts of task demand, mental workload, and a simplistic model of multiple resource theory. For a given task, the gross level of neural activity required is a representation of the mental demands of the task. Of course, a complex task can demand varied resources such as visual and UNCLASSIFIED// FOR OFFICIJl!tt tl!H!! 8,.klf 1
Not linked to a story yet.
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.