ACM Home Page
Please provide us with feedback. Feedback
Human performance modeling for discrete-event simulation: human performance modeling for discrete-event simulation: workload
Full text PdfPdf (166 KB)
Source Winter Simulation Conference archive
Proceedings of the 34th conference on Winter simulation: exploring new frontiers table of contents
San Diego, California
SESSION: Advanced tutorials table of contents
Pages: 157 - 162  
Year of Publication: 2002
ISBN:0-7803-7615-3
Author
John Keller  Micro Analysis & Design, Inc., Boulder, CO
Sponsors
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
Publisher
Winter Simulation Conference 
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 31,   Citation Count: 1
Additional Information:

abstract   references   cited by  

Tools and Actions: Review this Article  

ABSTRACT

This tutorial will present a methodology for modeling of human performance using multiple resource theory within a discrete event simulation. Participants will gain an understanding of why modeling human performance can be important and how workload models can be used to support system design. This presentation will include the theoretical background as well as detailed the techniques for modeling workload. The techniques will be demonstrated through the development of a model to assess the workload associated with driving a car while talking on a cell phone. Finally, two case studies of how these techniques have been used to model human performance during the design of new military systems will be presented.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bierbaum, C. R., S. M. Szabo, and T. B. Aldrich. 1987. A comprehensive task analysis of the UH-60 mission with crew workload estimates and preliminary decision rules for developing a UH-60 workload prediction model. (Technical Report ASI690-302-87{B}, Vol I, II, III, IV). Fort Rucker, AL: Anacapa Sciences, Inc.
 
2
McCrasken, J. H. and T. B. Aldrich. 1984. Analysis of selected LHX mission functions: Implications for operator workload and system automation goals (Technical Note ASI479-024-84). Fort Rucker, AL: Army Research Institute Aviation Research and Development Activity.
 
3
Szabo, S. M. and C. R. Bierbaum. 1986. A comprehensive task analysis of the AH-64 mission with crew workload estimates and preliminary decision rules for developing and AH-64 workload prediction model (Technical Report ASI678-204-86{B}, Vol I, II, III, IV). Fort Rucker, AL: Anacapa Sciences, Inc.
 
4
Wickens, C. D. 1984. Engineering psychology and human performance. HarperCollins Pub.