Human performance estimating with analogy and regression models: an empirical validation

The term Mental Model has been used to account for human performance in a variety of domains. Cross disciplinary interpretations of the term have appeared incompatible with each other, threatening to render it vacuous. Moray (1988, 1990, 1991, in press) proposes lattice theory as a comprehensive formalism of the structure of Mental Models, assimilating the apparently disparate interpretations. To date, there has been little objective, quantitative support for mental models of complex human-machine systems. The Conant (1972, 1976, 1988) Method of Extended Dependency Analysis (EDA) suggests a viable quantitative means of discovering human-machine structures, a crucial step toward an empirical validation of the Mental Models concept. Results of a process control experiment suggest that a complex system can be reduced to a manageable number of key variables. Further, successful operators identify these variables and demonstrate patterns of information flow which exploit crucial system relationships.

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An Empirical Validation of a Model of Human Decision Making for Human-Computer Communication

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128302701201 ◽

1983 ◽

Vol 27 (12) ◽

pp. 958-962 ◽

Cited By ~ 1

Author(s):

Mark E. Revesman ◽

Joel S. Greenstein

Keyword(s):

Decision Making ◽

Computer Technology ◽

Human Performance ◽

Empirical Validation ◽

Accurate Predictor ◽

Computer Communication ◽

Model Predictions ◽

Control Situation ◽

Human Decision ◽

Multiple Task

As the sophistication of computer technology increases, the number of systems in which both a human and computer take controlling roles will increase. Effective communication between the human and computer is essential to prevent redundant or interfering actions. If a method for accurately predicting the human's actions can be found, the computer could avoid redundant actions by working around the human. This paper empirically validates a model of human behavior in a multiple task, process control situation. Results indicate that the model appears to be an accurate predictor of human performance, consistently predicting over 70% of the subjects' actions over a range of situations. The possible value of this model will be investigated in a study in which the computer is implemented as a parallel decision maker, using the model predictions in place of overt communication.

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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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