Opportunistic robot control for interactive multiobjective optimization under human performance limitations

The purpose of this paper is to provide a designer or systems analyst a guide to human performance limitations in vision when fixation must be redirected from one display to another. The focus is on large angular separation (greater than 20 deg) and on tasks wherein speed is of importance. Patterns of eye and head movements are shown, as well as quantitative data on saccades, periods of eyelhead compensation, and head movement. Independent variables include interdisplay angle, display visibility, operator's knowledge of display location, and some relevant characteristics of a possible task which must be interrupted for the refixation. Intersubject and intrasubject variability are also presented.

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The limits of human performance

Essays in Biochemistry ◽

10.1042/bse0440011 ◽

2008 ◽

Vol 44 ◽

pp. 11-26 ◽

Cited By ~ 14

Author(s):

Ralph Beneke ◽

Dieter Böning

Keyword(s):

Human Performance ◽

Safety Margin ◽

Afferent Input ◽

Metabolic Energy ◽

Human Organism ◽

Mechanical Resistance ◽

As Doping ◽

Gene And Protein Expression ◽

Underlying Mechanisms ◽

Biochemical Research

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.

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1880: Assessment of Basic Human Performance Resources Predicts Performance of Ureterorenoscopy in Human Cadavers

The Journal of Urology ◽

10.1016/s0022-5347(18)39072-4 ◽

2004 ◽

Vol 171 (4S) ◽

pp. 496-497

Author(s):

Edward D. Matsumoto ◽

George V. Kondraske ◽

Lucas Jacomides ◽

Kenneth Ogan ◽

Margaret S. Pearle ◽

...

Keyword(s):

Human Performance ◽

Human Cadavers

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Short Stress State Questionnaire

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000200 ◽

2015 ◽

Vol 31 (1) ◽

pp. 20-30 ◽

Cited By ~ 28

Author(s):

William S. Helton ◽

Katharina Näswall

Keyword(s):

Stress State ◽

Factor Structure ◽

Human Performance ◽

Self Report ◽

Confirmatory Factor ◽

Stress States ◽

Related Stress ◽

Using Data ◽

Task Conditions ◽

Multiple Samples

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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