Automated aid evaluation for transitioning UAS camera views

Calhoun, Gloria L.; Warfield, Lamar; Wright, Nicholas; Spriggs, Sarah; Ruff, Heath A.

doi:10.1037/e578652012-030

Cited by 2 publications

(2 citation statements)

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“…John, Smallman, and Manes (2005) claimed better performance for their CHEX automated change detection tool; however, this claim presupposed the ability to automatically detect salient changes, an unlikely capability for many tasks requiring human monitoring. A third approach with promising results, the GITZ (Get in the Zone) tool, uses principles of visual momentum (Woods, 1984) and synthetic video to move an operator's viewpoint from a current UAV to a new unit (Calhoun, Warfield, Wright, Spriggs, & Ruff, 2010;Draper et al, 2008).…”

Section: Control Characteristics Of O(n) Systemsmentioning

confidence: 99%

Human Interaction With Multiple Remote Robots

Lewis¹

2013

Reviews of Human Factors and Ergonomics

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In this chapter, I review research involving remote human supervision of multiple unmanned vehicles (UVs) using command complexity as an organizing construct. Multi-UV tasks range from foraging, requiring little coordination among UVs, to formation following, in which UVs must function as a cohesive unit. Command complexity, the degree to which operator effort increases with the number of supervised UVs, is used to categorize human interaction with multiple UVs. For systems in which each UV requires the same form of attention (O(n)), effort increases linearly with the number of UVs. For systems in which the control of one UV is dependent upon another (O(>n)), additional UVs impose greater than linear increases due to the expense of coordination. For other systems, an operator interacts with an autonomously coordinating group, and effort is unaffected by group size (O(1)). Studies of human/multi-UV interaction can be roughly grouped into O(n) supervision, involving one-to-one control of individual UVs, or O(1) commanding, in which higherlevel commands are directed to a group. Research in O(n) command has centered on roundrobin control, neglect tolerance, and attention switching. Approaches to O(1) command are divided into systems using autonomous path planning only, plan libraries, human-steered planners, and swarms. Each type of system has its advantages. Less complete work in scalable displays for multiple UVs is reviewed. Mixing levels of command is probably necessary to supervise multiple UVs performing realistic tasks. Research in O(n) control is mature and can provide quantitative and qualitative guidance for design. Interaction with planners and swarms is less mature but more critical to developing effective multi-UV systems capable of performing complex tasks. IntRoductIon In recent decades, the number of mobile unmanned vehicles (UVs) deployed in field applications has risen dramatically. Their usage offers obvious advantages of reduced costs, removing humans from harm's way, or enabling entirely new applications that were previously impossible, especially when combining many such UVs into a comprehensive system. The domains of potential application are equally diverse and range from low-cost warehouse security to interplanetary exploration. New developments in commodity hardware, which serve as low-cost replacements for otherwise expensive sensing or motion capabilities, promise to further accelerate the trend toward deploying large teams of mobile UVs. This trend, however, poses a challenge for the control of such systems.

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Section: Control Characteristics Of O(n) Systemsmentioning

confidence: 99%

Human Interaction With Multiple Remote Robots

Lewis¹

2013

Reviews of Human Factors and Ergonomics

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“…Several enhancements to GITZ were identified, including changing the transition speed and providing the operator direct control over certain transition parameters. A second study (Calhoun, Warfield, Ruff, Spriggs and Wright, 2010) found significantly improved spatial awareness of the new environment (measured objectively) and a trend towards increased speed in moving the new camera to the intended landmark area.…”

Section: "Get In the Zone" Camera Transitionmentioning

confidence: 97%

Tools and Techniques for MOMU (Multiple Operator Multiple UAV) Environments; an Operational Perspective

Oron-Gilad

Porat

Fern

et al. 2011

Proceedings of the Human Factors and Ergonomics Society Annual

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Multiple operators controlling multiple unmanned aerial vehicles (MOMU) can be an efficient operational setup for reconnaissance and surveillance missions. However, it dictates switching and coordination among operators. Efficient switching is time-critical and cognitively demanding, thus vitally affecting mission accomplishment. As such, tools and techniques (T&Ts) to facilitate switching and coordination among operators are required. Furthermore, development of metrics and test-scenarios becomes essential to evaluate, refine, and adjust T&Ts to the specifics of the operational environment. To illustrate, tools that were designed and developed for MOMU operations as part of a US-Israel collaborative research project are described and associated research findings are summarized.

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Automated aid evaluation for transitioning UAS camera views

Cited by 2 publications

References 0 publications

Human Interaction With Multiple Remote Robots

Human Interaction With Multiple Remote Robots

Tools and Techniques for MOMU (Multiple Operator Multiple UAV) Environments; an Operational Perspective

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