Study of visual cues for unmanned aerial vehicle waypoint allocation

Trinh, T.T.; Kuchar, James K.

doi:10.1109/dasc.1999.863735

“…The most common method of imagery collection in the ISR community are using UAVs, which range from hand-held devices to orbiting satellites; therefore, many studies involving visual tasks have used UAVs for aerial data acquisition (Trinh & Kuchar, 1999;Dixon, Wickens, & Chang, 2005;Freed, Harris, & Shafto, 2004;Srinivasan et al, 2004;Ruff et al, 2004;Wickens, Dixon, Chang, 2003;Hickman & Mirchandani, 2008;O'Kelly, Matisziw, Merry, & Niu, 2005). This study uses aerial imagery to understand performance and differences in cognitive workload in monitoring multiple watch windows under high and low ACT/AOC conditions.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Human Monitoring Capabilities for Multiple Watch Windows

Eziolisa

¹

,

Evans

²

,

Fendley

³

2016

International Journal of Monitoring and Surveillance Technologies Research

0

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Due to an abundance of data and dynamic nature of tasks, challenges with information retrieval in surveillance and target identification tasks have risen in today's Intelligence, Surveillance, and Reconnaissance (ISR) community. In this study, two variables, Area of Coverage and Amount of Activity (AOC/ACT), are manipulated to study their effects on the number of Watch Windows an observer can monitor. This research describes the analyst's task model, and explains how the level of AOC/ACT and number of Watch Windows affects the analyst's cognitive load. Results showed a significant difference in performance and physiological indicators of workload between high AOC/ACT conditions and low AOC/ACT conditions. A linear correlation was exhibited between the number of Watch Windows and the number of fixations. The results show that these variables can be manipulated in tasking to maintain appropriate levels of cognitive workload.

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Design of intelligent flight control law following the optical payload

Ju

¹

,

Tsai

²

,

Fu³

et al.

IEEE International Conference on Networking, Sensing and Control, 2004

1

0

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Investigation of Human Monitoring Capabilities for Multiple Watch Windows

Eziolisa

¹

,

Evans

²

,

Fendley

³

2019

Human Performance Technology

0

View full text Add to dashboard Cite

Due to an abundance of data and dynamic nature of tasks, challenges with information retrieval in surveillance and target identification tasks have risen in today's Intelligence, Surveillance, and Reconnaissance (ISR) community. In this study, two variables, Area of Coverage and Amount of Activity (AOC/ACT), are manipulated to study their effects on the number of Watch Windows an observer can monitor. This research describes the analyst's task model, and explains how the level of AOC/ACT and number of Watch Windows affects the analyst's cognitive load. Results showed a significant difference in performance and physiological indicators of workload between high AOC/ACT conditions and low AOC/ACT conditions. A linear correlation was exhibited between the number of Watch Windows and the number of fixations. The results show that these variables can be manipulated in tasking to maintain appropriate levels of cognitive workload.

show abstract

Study of visual cues for unmanned aerial vehicle waypoint allocation

Cited by 3 publications

References 3 publications

Investigation of Human Monitoring Capabilities for Multiple Watch Windows

Investigation of Human Monitoring Capabilities for Multiple Watch Windows

Design of intelligent flight control law following the optical payload

Investigation of Human Monitoring Capabilities for Multiple Watch Windows

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