Supporting Multi-objective Decision Making Within a Supervisory Control Environment

Sibley, Ciara; Coyne, Joseph T.; Balasingam, Balakumar; Mishra, Manisha; Pattipati, Krishna R.

doi:10.1007/978-3-319-39952-2_21

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…In the last few years, some works have proposed UAV simulation environments for supervisory flight control [ 10 ], coordination [ 11 ] or training [ 12 ].…”

Section: Related Workmentioning

confidence: 99%

Extending QGroundControl for Automated Mission Planning of UAVs

Ramírez-Atencia

Camacho

2018

Sensors

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Unmanned Aerial Vehicle (UAVs) have become very popular in the last decade due to some advantages such as strong terrain adaptation, low cost, zero casualties, and so on. One of the most interesting advances in this field is the automation of mission planning (task allocation) and real-time replanning, which are highly useful to increase the autonomy of the vehicle and reduce the operator workload. These automated mission planning and replanning systems require a Human Computer Interface (HCI) that facilitates the visualization and selection of plans that will be executed by the vehicles. In addition, most missions should be assessed before their real-life execution. This paper extends QGroundControl, an open-source simulation environment for flight control of multiple vehicles, by adding a mission designer that permits the operator to build complex missions with tasks and other scenario items; an interface for automated mission planning and replanning, which works as a test bed for different algorithms, and a Decision Support System (DSS) that helps the operator in the selection of the plan. In this work, a complete guide of these systems and some practical use cases are provided.

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“…In the last few years, some works have proposed UAV simulation environments for supervisory flight control [ 10 ], coordination [ 11 ] or training [ 12 ].…”

Section: Related Workmentioning

confidence: 99%

Extending QGroundControl for Automated Mission Planning of UAVs

Ramírez-Atencia

Camacho

2018

Sensors

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“…On the basis of system analysis, a phased action plan has been developed that is used to achieve global goals [12,13]. In the process of system analysis, patterns of typical situations and reactions have been highlighted to support decision-making [14,15]. In addition to analyze information on the activities of NBFIs, effective decision support requires a comprehensive review of the organizational and system-level characteristics [16,17], while safety aspects must be taken into account [18,19].…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Support for Supervisory Control of Non-Banking Financial Institutions

Perevozchikov¹,

Golovnin²

2020

Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

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With the change in the regulatory landscape in the financial sector, the organization of the activities of nonbanking financial institutions (NBFI) is making more and more demands on the part of state regulatory authorities. To increase the effectiveness of supervision of NBFIs, regulatory bodies use systems that automate the supervisory activities, and, in particular, decision support systems. This paper presents a decision support system to plan supervisory activities over NBFIs in accordance with the principle of risk-based supervision, in which resources are concentrated on NBFIs with the maximum amount of risk or scope of activity. The developed system tracks and prevents violations, adjusts the correctness of actions in relation to NBFIs. In addition, the system plans supervisory activities, changes the supervision regimes for NBFIs and controls the timing. The application of the developed system increases the effectiveness of the regulatory bodies in terms of control and supervision of both individual NBFIs and the financial market as a whole.

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“…For example, Palinko, Kun, Shyrokov, & Heeman (2010) collected pupillary data from participants engaged in a driving task and found strong agreement between performance data and pupillary data, suggesting that cognitive load can be inferred via eye tracking data within a realistic environment. Additionally, Sibley, Coyne, Doddi, & Jasper (2015) used eye tracking within an unmanned aerial vehicle operator simulation environment and found increased pupil size associated with increased processing demands, in addition to larger standard deviations in the pupil sizes of poor performers compared to high task performers.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Use of Two Low Cost Eye Tracking Systems for Detecting Pupillary Response to Changes in Mental Workload

Coyne

Sibley

2016

Proceedings of the Human Factors and Ergonomics Society Annual

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Eye tracking technologies are being utilized at increasing rates within industry and research due to the very recent availability of low cost systems. This paper presents results from a study assessing two eye tracking systems, Gazepoint GP3 and Eye Tribe, both of which are available for under $500 and provide streaming gaze and pupil size data. The emphasis of this research was in evaluating the ability of these eye trackers to identify changes in pupil size which occur as a function of variations in lighting conditions as well as those associated with workload. Ten volunteers participated in an experiment in which a digit span task was employed to manipulate workload as user’s fixated on a monitor which varied in background luminance (black, gray and white). Results revealed that both systems were able to significantly differentiate pupil size differences in high and low workload trials and changes due to the monitor’s luminance. These findings are exceedingly promising for human factors researchers, as they open up the opportunity to augment studies with non-obtrusive, streaming measures of mental workload with technologies available for as little as $100.

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Supporting Multi-objective Decision Making Within a Supervisory Control Environment

Cited by 7 publications

References 8 publications

Extending QGroundControl for Automated Mission Planning of UAVs

Extending QGroundControl for Automated Mission Planning of UAVs

Decision-Making Support for Supervisory Control of Non-Banking Financial Institutions

Investigating the Use of Two Low Cost Eye Tracking Systems for Detecting Pupillary Response to Changes in Mental Workload

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