Designing Synthetic Tasks for Human Factors Research: An Application to Uninhabited Air Vehicles

Martin, E. J.; Lyon, Don R.; Schreiber, Brian T.

doi:10.1177/154193129804200128

Cited by 27 publications

(17 citation statements)

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“…The USAF Air Combat Command has commissioned research to address this question. The Air Force Research Laboratory (AFRL) at Mesa, AZ, is conducting this research (Martin, Lyon, & Schreiber, 1998).…”

Section: Discussionmentioning

confidence: 99%

Unmanned Aerial Vehicle Operator Qualifications

Weeks¹

2000

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Section: Discussionmentioning

confidence: 99%

Unmanned Aerial Vehicle Operator Qualifications

Weeks¹

2000

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“…Using the operator knowledge represented in the taxonomy, we recently developed a UAV replanning task (Cook, Smallman, Lacson, & Manes, 2009) that is consistent with the key objectives and features of synthetic tasks (Cooke, Rivera, Shope, & Caukwell, 1999;Gugerty, et al, 1999;Martin, Lyon, & Schreiber, 1998): our synthetic UAV replanning task (1) focuses on the key perceptual 3-D spatial demands of en route replanning, (2) is reconfigurable for additional research, and (3) can be performed by non-expert operators.…”

Section: Codifying the Issues: Rerouting Event Taxonomy And Syntheticmentioning

confidence: 99%

When Plans Change: Task Analysis and Taxonomy of 3-D Situation Awareness Challenges of UAV Replanning

Cook¹,

Smallman²

2010

PsycEXTRA Dataset

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There are a host of human factors issues involved in operating unmanned aerial vehicles (UAVs). The challenges facing UAV operators are intensified when dynamic mission environments require route replanning on-the-fly, under time pressure. The focus of this work is to characterize the specific 3-D spatial awareness challenges encountered during UAV replanning, in order to design display and automation interventions and assistance to support replanning. To elucidate these 3-D difficulties, we conducted a cognitive task analysis of the replanning problem with the Navy's VC-6 Squadron recently returned from Iraq. Key 3-D spatial challenges involved rationalizing complex combinations of avoiding airspace and terrain regions while simultaneously staying inside or near other airspace, target, and ground regions. Conventional UAV ground control displays did not support the integration or understanding of spatial aspects of the complex information necessary for UAV replanning. Replanning events were operationalized in terms of their 3-D spatial attributes and display requirements, and organized into a taxonomy pairing the events to replanning display interventions. A synthetic task abstraction of the key 3-D spatial replanning challenges was created, and experimentally validated. The display-to-event taxonomy guides future display designs, and experiment data and conventional displays serve as a baseline for future replanning displays.

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“…We are using a Predator Synthetic Task Environment (STE) developed at the Air Force Research Laboratory in Mesa to facilitate bridging the gap between basic research and applications of that research that create value for the Air Force. 40 The Predator STE (Figure 5a) is a laboratory version of the system interface available in the Predator Ground Control Station (GCS; Figure 5b), which is housed in a trailer (Figure 5c). The STE includes a high fidelity simulation of the flight dynamics of the Predator RQ-1A (Figure 5d).…”

Section: Basic Maneuvering and Reconnaissance Tasks A Predator Stementioning

confidence: 99%

A Prospective Look at a Synthetic Teammate for UAV Applications

Gunzelmann

Lyon

2005

Infotech@Aerospace

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This paper describes current progress and future plans for research and development in synthetic teammates for applications in training, analysis, and system design for UAV operations. The development of these teammates involves the eventual integration of several distinct, yet related, basic and applied research lines, including navigation and orientation in virtual environments, computational cognitive process modeling of aircraft maneuvering and reconnaissance missions, verbal interaction between human operators and synthetic entities, and the formal analysis of team skill. The use of the ACT-R cognitive modeling architecture to create computational cognitive process models serves as a common thread that will be helpful in integrating the products of these research lines into a functional system. The paper provides a summary of the current status of our research, as well as a description of externally developed technologies we plan to leverage in order to achieve our goal of a high-fidelity cognitive model that is able to operate as a member of a team performing UAV reconnaissance missions.

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Designing Synthetic Tasks for Human Factors Research: An Application to Uninhabited Air Vehicles

Cited by 27 publications

References 0 publications

Unmanned Aerial Vehicle Operator Qualifications

Unmanned Aerial Vehicle Operator Qualifications

When Plans Change: Task Analysis and Taxonomy of 3-D Situation Awareness Challenges of UAV Replanning

A Prospective Look at a Synthetic Teammate for UAV Applications

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