Title

Characterization And Modeling Of Acute Stress Under Dynamic Task Conditions

Abstract

The ability to manage high levels of acute stress is an important determinant of successful performance in many occupations including those performed in extreme environments. In situations where performance is critical, personnel must be prepared to operate or execute tasks successfully under hostile or extreme stress conditions; therefore, training programs and engineered systems must be designed to ensure that humans can perform successfully. To design appropriate training programs for these conditions, it is necessary to measure stress. A framework for modeling stress was developed to quantify stress levels and its impact on human performance. This model is based on human responses (physiological and cognitive) to stressors as well as characteristics inherent to type of task performed and factors that play roles as mediators and moderators (e.g., task appraisal, personality, gender). Artificial Neural Networks was explored as a possible approach for quantification. Thus, this research provides a predictive model for acute stress as a function of human performance and task demand. The goal of this work is to develop a tool for accident prevention, training and human performance assessment under stress conditions. © 2010 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

Publication Date

12-1-2010

Publication Title

40th International Conference on Environmental Systems, ICES 2010

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84880803292 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84880803292

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