Thinking about Human Performance Risk

2021 ◽  
pp. 17-31
Author(s):  
Tony Muschara ◽  
Ron Farris ◽  
Jim Marinus
Author(s):  
Ana Veronica Y. Badua ◽  
Nita Lewis Shattuck ◽  
Panagiotis Matsangas

Long working hours, 24/7 shift work, restricted sleep opportunities, and circadian misalignment all lead to degraded human performance and impairments in decision making. After several mishaps involving U.S. Navy warships in 2017, renewed attention was devoted to optimizing warfighter performance and reducing safety risks associated with crew endurance and fatigue issues. This paper summarizes the development and initial evaluation of the Scheduling Management Aid for Risk Tracking (SMART) prototype. SMART is a human performance risk assessment tool designed to help the U.S. Navy systematically assess and mitigate risk due to crew fatigue during in port and at-sea operations. The heuristics underlying the prototype are selected to identify and quantify human performance risk based on a Sailor’s work and rest patterns. The results are designed to enable data-driven crew resource management decisions, take targeted fatigue mitigation actions, and rapidly calculate human performance risks.


Author(s):  
William Kosnik ◽  
Patrick O’Neill ◽  
Zachary Zimmerlin

The Human Systems Integration Risk Management Tool (HSI-RMT) is a software-based interactive application designed to track, analyze, and mitigate human performance risk associated with the development of systems. It spans system development from concept formation to sustainment, that is – across the entire system acquisition lifecycle. HSI-RMT combines two previously developed tools: the HSI Capabilities and Requirements Tool (HSI-CART) and the HSI Program Risk Assessment Tool (HSI-PRAT). The former addresses HSI in capability requirements planning and the latter human performance considerations in system acquisition. HSI-RMT overlays a risk management approach onto the two tools in order to help the HSI practitioner identify, analyze, and mitigate human performance risk to program success. Tool content, in the form of best practice questions, was developed by Air Force HSI and industry subject matter experts. HSI-RMT promises to be a useful tool to help HSI practitioners manage human-centric risk across the system lifecycle. A demonstration will be given.


2008 ◽  
Vol 44 ◽  
pp. 11-26 ◽  
Author(s):  
Ralph Beneke ◽  
Dieter Böning

Human performance, defined by mechanical resistance and distance per time, includes human, task and environmental factors, all interrelated. It requires metabolic energy provided by anaerobic and aerobic metabolic energy sources. These sources have specific limitations in the capacity and rate to provide re-phosphorylation energy, which determines individual ratios of aerobic and anaerobic metabolic power and their sustainability. In healthy athletes, limits to provide and utilize metabolic energy are multifactorial, carefully matched and include a safety margin imposed in order to protect the integrity of the human organism under maximal effort. Perception of afferent input associated with effort leads to conscious or unconscious decisions to modulate or terminate performance; however, the underlying mechanisms of cerebral control are not fully understood. The idea to move borders of performance with the help of biochemicals is two millennia old. Biochemical findings resulted in highly effective substances widely used to increase performance in daily life, during preparation for sport events and during competition, but many of them must be considered as doping and therefore illegal. Supplements and food have ergogenic potential; however, numerous concepts are controversially discussed with respect to legality and particularly evidence in terms of usefulness and risks. The effect of evidence-based nutritional strategies on adaptations in terms of gene and protein expression that occur in skeletal muscle during and after exercise training sessions is widely unknown. Biochemical research is essential for better understanding of the basic mechanisms causing fatigue and the regulation of the dynamic adaptation to physical and mental training.


2004 ◽  
Vol 171 (4S) ◽  
pp. 496-497
Author(s):  
Edward D. Matsumoto ◽  
George V. Kondraske ◽  
Lucas Jacomides ◽  
Kenneth Ogan ◽  
Margaret S. Pearle ◽  
...  

2015 ◽  
Vol 31 (1) ◽  
pp. 20-30 ◽  
Author(s):  
William S. Helton ◽  
Katharina Näswall

Conscious appraisals of stress, or stress states, are an important aspect of human performance. This article presents evidence supporting the validity and measurement characteristics of a short multidimensional self-report measure of stress state, the Short Stress State Questionnaire (SSSQ; Helton, 2004 ). The SSSQ measures task engagement, distress, and worry. A confirmatory factor analysis of the SSSQ using data pooled from multiple samples suggests the SSSQ does have a three factor structure and post-task changes are not due to changes in factor structure, but to mean level changes (state changes). In addition, the SSSQ demonstrates sensitivity to task stressors in line with hypotheses. Different task conditions elicited unique patterns of stress state on the three factors of the SSSQ in line with prior predictions. The 24-item SSSQ is a valid measure of stress state which may be useful to researchers interested in conscious appraisals of task-related stress.


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