Effect of Simulation-Based Training and Neurofeedback Interventions on Radiation Technologists’ Workload, Situation Awareness, and Performance

Impact of Simulation-Based Training on Radiation Therapists’ Workload, Situation Awareness, and Performance

Advances in Radiation Oncology ◽

10.1016/j.adro.2020.09.008 ◽

2020 ◽

Vol 5 (6) ◽

pp. 1106-1114 ◽

Cited By ~ 1

Author(s):

Lukasz M. Mazur ◽

Robert Adams ◽

Prithima R. Mosaly ◽

Marjorie P. Stiegler ◽

Joseph Nuamah ◽

...

Keyword(s):

Situation Awareness ◽

Simulation Based ◽

And Performance

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Effect of Neurofeedback and Simulation-based Training Interventions on Radiation Therapy Therapists’ (RTTs) Mental Workload, Situation Awareness, and Performance

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2020.07.2176 ◽

2020 ◽

Vol 108 (3) ◽

pp. S54

Author(s):

L. Mazur ◽

P.R. Mosaly ◽

L.B. Marks ◽

B.S. Chera ◽

R.D. Adams

Keyword(s):

Radiation Therapy ◽

Situation Awareness ◽

Mental Workload ◽

Training Interventions ◽

Simulation Based ◽

And Performance

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Context-Based Visual Aids to Support the Situation Awareness of Field Engineers Conducting Windstorm Risk Surveys

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181319631138 ◽

2019 ◽

Vol 63 (1) ◽

pp. 1898-1902

Author(s):

Sruthy Agnisarman ◽

Kapil Chalil Madathil ◽

Jeffery Bertrand

Keyword(s):

Experimental Design ◽

Situation Awareness ◽

Decision Aids ◽

Weather Condition ◽

Extreme Weather ◽

Visual Aids ◽

Loss Prevention ◽

Predictive Display ◽

Independent Variable ◽

And Performance

Insurance loss prevention survey, specifically windstorm risk inspection survey is the process of investigating potential damages associated with a building or structure in the event of an extreme weather condition such as a hurricane or tornado. This process is performed by a trained windstorm risk engineer who physically goes to a facility to assess the wind vulnerabilities associated with it. This process is highly subjective, and the accuracy of findings depends on the experience and skillsets of the engineer. Although using sensors and automation enabled systems help engineers gather data, their ability to make sense of this information is vital. Further, their Situation Awareness (SA) can be affected by the use of such systems. Using a between-subjects experimental design, this study explored the use of various context-based visualization strategies to support the SA requirements and performance of windstorm risk engineers. The independent variable included in this study is the type of context-based visualizations used (with 3 levels: no visual aids, checklist based and predictive display based visual aids). We measured SA using SAGAT and performance using a questionnaire. SA and performance were found to be higher for the predictive display and checklist based conditions. The findings from this study will inform the design of context-based decision aids to support the SA of risk engineers.

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Level of Automation Forms a Key Aspect of Autonomy Design

Journal of Cognitive Engineering and Decision Making ◽

10.1177/1555343417723432 ◽

2017 ◽

Vol 12 (1) ◽

pp. 29-34 ◽

Cited By ~ 17

Author(s):

Mica R. Endsley

Keyword(s):

Situation Awareness ◽

Interface Design ◽

Human Performance ◽

Human Cognition ◽

Level Of Automation ◽

Out Of The Loop ◽

Wide Range ◽

Levels Of Automation ◽

And Performance ◽

The Impact

The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries.

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