Mary L. Cummings

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In the future vision of allowing a single operator to remotely control multiple unmanned vehicles, it is not well understood what cognitive constraints limit how many vehicles and related tasks a single operator can manage. This paper illustrates that when predicting the number of unmanned aerial vehicles (UAVs) a single operator can control, it is(More)
Efforts are underway to make it possible for a single operator to effectively control multiple robots. In these high workload situations, many questions arise including how many robots should be in the team (Fan-out), what level of autonomy should the robots have, and when should this level of autonomy change (i.e., dynamic autonomy). We propose that a set(More)
OBJECTIVE This study examined the impact of increasing automation replanning rates on operator performance and workload when supervising a decentralized network of heterogeneous unmanned vehicles. BACKGROUND Futuristic unmanned vehicles systems will invert the operator-to-vehicle ratio so that one operator can control multiple dissimilar vehicles(More)
In the recent development of a human-in-the-loop simulation test bed designed to examine human performance issues for supervisory control of the Navy's new Tactical Tomahawk missile, measurements of operator situation awareness (SA) and workload through secondary tasking were taken through an embedded instant messaging program. Instant message interfaces(More)
With reduced radar signatures, increased endurance and the removal of humans from immediate threat, uninhabited (also known as unmanned) aerial vehicles (UAVs) have become indispensable assets to militarized forces. UAVs require human guidance to varying degrees and often through several operators. However, with current military focus on streamlining(More)
The ability to recognize patterns of operator behavior that could lead to poor outcomes is critical to monitoring the overall performance of the human-unmanned system team. We propose a method that relies on Bayesian machine learning in order to automatically derive a set of states that describe the behavior of an operator. More specifically, we use the(More)
In light of the Office of the Secretary Defense’s Roadmap for unmanned aircraft systems (UASs), there is a critical need for research examining human interaction with heterogeneous unmanned vehicles. The OSD Roadmap clearly delineates the need to investigate the “appropriate conditions and requirements under which a single pilot would be allowed to control(More)
Between January 12 and February 7, 1987, an outbreak of gastroenteritis affected an estimated 13,000 people in a county of 64,900 residents in western Georgia. Cryptosporidium oocysts were identified in the stools of 58 of 147 patients with gastroenteritis (39 percent) tested during the outbreak. Studies for bacterial, viral, and other parasitic pathogens(More)
OBJECTIVE This study examined operators' capacity to successfully reallocate highly autonomous in-flight missiles to time-sensitive targets while performing secondary tasks of varying complexity. BACKGROUND Regardless of the level of autonomy for unmanned systems, humans will be necessarily involved in the mission planning, higher level operation, and(More)
Discrete-event simulations for futuristic unmanned vehicle (UV) systems enable a costand time-effective methodology for evaluating various autonomy and human–automation design parameters. Operator mental workload is an important factor to consider in such models. We suggest that the effects of operator workload on system performance can be modeled in such a(More)