Select References

All references available online are linked below.  Other references must be secured by requestor.

General

  • Allender, L. (2000). Modeling human performance: Impacting system design, performance, and cost. In M. Chinni (ed.) Proceedings of the Military, Government and Aerospace Simulation Symposium.  Washington, D.C.  32(3), 139-144.
  • Archer, S; Allender, L. (2001).  New capabilities in the Army's human performance modeling tool.  In M. Chinni (ed.) Proceedings of the Military, Government, and Aerospace Simulation Conference.Seattle, WA.  33(4), 22-27.
  • Archer, Susan G. (2001). Crew Station Design Tool
  • Dye, Gregory W. (2015).  Using IMPRINT to Guide Experimental Design with Simulated Task Environments. ADA626785
  • Goodman, T. J., Miller, M. E., & Rusnock, C. F. (2015, December). Incorporating automation: using modeling and simulation to enable task re-allocation. In Winter Simulation Conference (WSC), 2015 (pp. 2388-2399). IEEE.
  • Martin, Edward A; Brett, Bryan E; Hoagland, David G. (1991). Tools for Including Realistic Representations of Operator Performance in DOD Constructive Simulations.
  • Plott, B. M., McDermott, P. L., Archer, S., Carolan, T. F., Hutchins, S., Fisher, A., & Orvis, K. A. (2014). Understanding the impact of training on performance. Alion Science and Technology Corp,  MA&D Operation, Boulder CO.
  • Salvendy, G. (2012). Handbook of human factors and ergonomics (4th edition). Hoboken: Wiley-Blackwell.
  • Schunk, D.; Bloechle, W. (2001). Simulation interoperability with the Micro Saint Simulation Software and COM Services. 239-245. Paper Presented at 2001 Winter Simulation Conference

Maintenance Modeling

  • Archer, S.; Gosakan, M.; Shorter, P.; Lockett III, J. F. (2005). New capabilities of the Army's maintenance manpower modeling tool.  Journal of the International Test and Evaluation Association.  26 (1), 19-26.
  • Gosakan, M.; Murray, S.(2010). Maintenance manpower modeling: A tool for human systems integration practitioners to estimate manpower, personnel, and training requirements. (pp. 217-232). London: Springer London. doi:10.1007/978-1-84882-213-9_10

Development

  • Allender, L.; Kelley, T.; Archer, S.; Adkins, R. (1997). IMPRINT The Transition and Further Development of a Soldier-System Analysis Tool.  MANPRINT Quarterly, Office of the Deputy Chief of Staff of Personnel. V (1).
  • Bagnall, Timothy; Hart, Karl. (2009). Performance Research Integration Tool (IMPRINT Pro) Maintenance Model Enhancements.
  • Dahl, S.; Allender, L; Kelley, T. (1995). Transitioning Software to the Window Environment - Challenges and Innovations. Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting, San Diego, CA. 1224-1227.
  • Dickason, David; Sargent, Bob; Bagnall, Tim. (2009). Investigating the Incorporation of Personality Constructs into IMPRINT.
  • Hahler, B.; Dahl, S.; Laughery, R.; Lockett, J.; Thein, B. (1991).  Crewcut - A Tool for Modeling the Effects of High Workload on Human Performance. Proceedings of the Human Factors Society 35th Annual Meeting, Santa Monica, CA.
  • Hunn, Bruce P; Heuckeroth, Otto H. (2006). A Shadow Unmanned Aerial Vehicle (UAV) Improved Performance Research Integration Tool (IMPRINT) Model Supporting Future Combat Systems.
  • Johnson, Tristan E; Sikorski, Eric G; Novak, Elena; Kocyigit, Esra; Rosenberg-Kima, Rinat B; Samuel, Roy; Becker, Betsy J. (2009.) Feasibility of Modeling the Impact of Training in IMPRINT for 21st Century Air Force Needs.
  • A Process Approach to Usability Testing for IMPRINT; ARL-TR-1171; U.S. Army Research Laboratory: Aberdeen Proving Ground, MD.
  • Kelley, T. D.; Allender, L. (1996).  Why choose? A Process Approach to Usability Testing. Proceedings of the Sixth International Conference on Human-Computer Interaction, (HCI International '95), 2, 393-398.
  • Lebiere, C.; Biefeld, E.; Archer, R.; Archer, S.; Allender, L.; Kelley, T.D. (2002). IMPRINT/ACT-R: Integration of a task network modeling architecture with a cognitive architecture and its application to human error modeling. In proceedings of the 2002 Advanced Simulation Technologies Conference, San Diego, CA, Simulation Series 34 (3), 13-18.
  • Mitchell, D. K., & Army Research Laboratory, Aberdeen Proving Ground, MD. (2003). Advanced improved performance research integration tool (IMPRINT) vetronics technology test bed model development.
  • McDermott, Patricia L; Clamann, Michael P; Quesada, Stacey K; Hutchins, Shaun D; Archer, Rick D; Peters, Steven D; Voeller, Christopher K. (2007). Improved Performance Research Integration Tool (IMPRINT) Training Data.
  • Murray, C. C., & Park, W. (2013). Incorporating human factor considerations in unmanned aerial vehicle routing. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(4), 860-874.
  • Parasuraman, Raja; Rovira, Ericka. (2005). Workload Modeling and Workload Management: Recent Theoretical Developments
  • Salvi, Lucia. (2001). Development of Improved Performance Research Integration Tool (IMPRINT) Performance Degradation Factors for the Air Warrior Program.
  • Walsh, W; Fulbright, T; Lerner, E; Behymer, K; Schlessman. IMPRINT Training Algorithm Enhancements for Maintainers.
  • Watson, M., Rusnock, C., Miller, M., & Colombi, J. (2015, December). Improving MBSE models using human performance simulation. In Proceedings of the 2015 Winter Simulation Conference (pp. 3226-3227). IEEE Press.

Validation, Verification and Accreditation

Performance Moderators

  • Allender, L.; Salvi, L.; Promisel, D. (1997).  Evaluation of Human Performance under Diverse Conditions via Modeling Technology. Proceedings of Workshop on Emerging Technologies in Human Engineering Testing and Evaluation, NATO Research Study Group 24, Brussels, Belgium.
  • Bagley, K. G. (2012). Analysis of the effects of individual differences on cognitive performance for the development of military socio-cultural performance moderators. ProQuest, UMI Dissertations Publishing.
  • Bagnall, Timothy; Plott, Beth; Laux, Lila. (2012). Discrete Event Simulation Analysis of JSTARS Battle Management Command and Control.
  • Barnes, M.; Hunn, B; Pomranky, R. (2006).  Modeling and operator simulations for early development of army unmanned vehicles: Methods and results. (pp. 59-70) Emerald Group Publishing Limited.
  • Buck-Gengler, Carolyn J; Raymond, William D; Healy, Alice F; Bourne, Jr, Lyle. (2012). Modeling Cognitive Tasks in IMPRINT.
  • Chen, J. (2009). Concurrent performance of military tasks and robotics tasks: Effects of automation unreliability and individual differences. 181-188. doi:10.1145/1514095.1514128
  • Farry, Mike; Potter, Scott; Negri,Alex; Pfautz, Johathan; Fichtl, Ted; Bisantz, Ann; Roth, Emilie; Steinke, Kristin M; Shepard, Lori. (2009). A System to Capture Automated Metrics of Performance (SCAMP) for JAOC C2 Operations.
  • Matessa,Michael; McDermott,Patricia; Warwick,Walter; Wells,Pamela; (2012). Interim Report 12-05, Air Force Research Lab (AFRL) Continuity of R&D Operations.
  • Mitchell, Diane K; Brennan, Gene.  Infantry Squad Using the Common Controller to Control an ARV-A (L) Soldier Workload Analysis.
  • Monaco, William A; Weatherless, Rachel A; Kalb, Joel T. (2006). Enhancement of Visual Target Detection with Night Vision Goggles.
  • O'Brian, L. H.; Simon, R.; Swaminathan, H. (1992).  Development of the Personnel-Based System Evaluation Aid (PER-SEVAL) Performance Shaping Functions; ARI Research Note 92-50, United States Army Research Institute for the Behavioral and Social Sciences.

Mental Workload

  • Archer, R.; Lockett, J. (1997).  WinCrew - A Tool for Analyzing Performance, Mental Workload and Function Allocation Among Operators. In the Proceedings of the ALLFN'97: Revisiting the Allocation of Function Issue. Galway, Ireland.  2, 157-165.
  • Cassenti, D. N., Kelley, T. D., & Carlson, R. A. (2013). Differences in performance with changing mental workload as the basis for an IMPRINT plug-in proposal. Ottawa: BRIMS Society.
  • Cassenti, D; Kelley, T; Colle, H; McGregor, E. (2011).  Modeling performance measures and self-ratings of workload in a visual scanning task.  Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55(1), 870-874. doi:10.1177/1071181311551181
  • Colombi, J. M., Miller, M. E., Schneider, M., McGrogan, M. J., Long, C. D. S., & Plaga, J. (2012). Predictive mental workload modeling for semiautonomous system design: Implications for systems of systems. Systems Engineering, 15(4), 448-460. doi:10.1002/sys.21210
  • Davis, B. M. (2006). Effects of tactical navigation display modality on navigation performance, situation awareness, and mental workload. Human Factors and Ergonomics Society Annual Meeting Proceedings, 50(17), 2089-2089.
  • Deveans, Thomas; Kewley, Robert H. (2009). Overcoming Information Overload in the Cockpit.
  • Fletcher, M R. (2006). Information Displays for Individual Dismounted Soldiers: A Workload Baseline for Modeling.
  • Hancock, Peter; Smith, Kip; Parasuraman, Raja; Harris, Wayne; Warm, Joel; Deaton, John. (2007). Mitigating Stress, Workload, and Fatigue on the Electronic Battlefield.

  • Hunn, B.; Schweitzer, K.; Cahir, J.; Finch, M. (2008).  IMPRINT Analysis of an Unmanned Air System Geospatial Information Process; ARL-TR-4513; U.S. Army Research Laboratory, Aberdeen Proving Ground, MD.
  • McCracken, J.H., & Aldrich, T.B. (1984). Analyses of Selected LHX Mission Functions: Implications for Operator Workload and System Automation Goals. (Technical Note ASI479-024-84). Fort Rucker, AL: U.S. Army Research Institute Aviation Research and Development Activity.
  • Mitchell, D. K. (2000).  Mental Workload and ARL Workload Modeling Tools; ARL-TN-161; U.S. Army Research Laboratory: Aberdeen Proving Ground, MD.
  • Mitchell, D. K., Abounader, B., Henry, S., Animashaun, A. (2009).  A Procedure for Collecting Mental Workload Data During an Experiment That Is Comparable to IMPRINT Workload Data; ARL-TR-5020; Army Research Laboratory. Aberdeen Proving Ground, MD.
  • Mitchell, D. K. (2009). Workload Analysis of the Crew of the Abrams V2 SEP: Phase I Baseline IMPRINT Model.
  • Mitchell Diane K. (2005). Soldier Workload Analysis of the Mounted Combat System (MCS) Platoon's Use of Unmanned Assets.

  • Mitchell, Diane K; Samms, Charneta L; Kozycki, Richard W; Kilduff, Patricia W; Swoboda, Jennifer C; Animashaun, Asisat F. (2006). Soldier Mental Workload, Space Claims, and Information Flow Analysis of the Combined Arms Battalion Headquarters Command and Control Cells.
  • Mitchell, D. K. (2000). Mental workload and ARL workload modeling tools (No. ARL-TN-161). Army Research Laboratory, Aberdeen Proving Ground, MD.
  • Mitchell, Diane K.; Brennan, Gene. (2013). Soldier Workload Analysis of Infantry Vehicles With Alternative System Designs (ARL-TR-6375). Army Research Laboratory, Aberdeen Proving Ground.Pond, Travis; Webster, Brandon; Machuca, John; Colombi, John; Miller, Michael; Gibb, Randall. (2012). Allocation of Communications to Reduce Mental Workload.
  • Popovic, D., Stikic, M., Berka, C., Klyde, D., & Rosenthal, T. (2013). PHYSIOPRINT: a workload assessment tool based on physiological signals. Automotive User Interfaces and Interactive Vehicular Applications, 31.
  • Samms, C., Jones, D., Hale, K., & Mitchell, D. (2009). Harnessing the power of multiple tools to predict and mitigate mental overload. (pp. 279-288). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-02728-4_30
  • Smyth, Christopher C; Gombash, James W; Burcham, Patricia M. (2001). Indirect Vision Driving with Fixed Flat Panel Displays for Near Unity, Wide, and Extended Fields of Camera View.
  • Spencer, Valerie N. (2009). Workload Analysis of a DDG-1000 Underway Replenishment Scenario.
  • Sterling, Bruce S; Perala, Chuck H; Blaske, Stephen F. (2007). Workload and Stress of Crews Operating Future Manned Vehicles.
  • Wojciechowski, J. Q., & U.S. Army Research Laboratory. (2004). Validation of improved research integration tool (IMPRINT) driving model for workload analysis.

Application

  • Allender, L.; McAnulty, D.; Bierbaum, C. (1992).  Using simulation to support testing: Implications of a HARDMAN III application. Proceedings of the 34th Annual Conference of the Military Testing Association.  804-809.
  • Allender, L. (2000). Modeling Human Performance: Impacting System Design, Performance, and Cost. In M. Chinni (ed.) Proceedings of the Military, Government and Aerospace Simulation Symposium, 2000 Advanced Simulation Technologies Conference (Washington, D.C.). 139-144.
  • Brett, B. E., Doyal, J. A., Malek, D. A., Martin, E. A., & Hoagland, D. G. (2002). The Combat Automation Requirements Testbed (CART) Task 5 Interim Report: Modeling a Strike Fighter Pilot Conducting a Time Critical Target Mission. (AFRL-HE-WP-TR-2002-0018).
  • Cassenti, D. N., & Samms, C. L. (2010). Enhancing S4 with Guidance from the Features of Other Behavior Modeling Systems (No. ARL-TN-0416). Army Research Laboratory, Aberdeen Proving Ground, MD, Human Research and Engineering Directorate.
  • Duke, D., Sims, D. E., & Pharmer, J.. (2011). Re-imagining workload task analysis: Applications to training system design. Defense AR Journal, 18(4), 428.
  • Fitzgerald, P. C.; Andrews, D. H.; Crabtree, M. S.; Doyal, J. A.; Meador, D. P.; Walsh, W. J.; Science Applications International Corp (SAIC), Beavercreek, OH. (2008). Incorporating training effects in modeling and simulation software
  • Fleetwood, M. D.; Lebiere, C.; Archer, R.; Mui, R. C.; Gosakan, M. (2006). Putting the brain in the box for human-system interface evaluation. Human Factors and Ergonomics Society Annual Meeting Proceedings, 50(11), 1165-1165.
  • Flint, R.; Rossmeissl, P.; Gould, B.; Weaver, W.; Dahl, S. (1992). Critical experiments of HARDMAN III utility for use by Air Force analysts. Air Force Human Resources Laboratory, Air Force Systems Command, Brooks Air Force Base, TX.
  • Garcia, A.; Finomore, V.; Burnett, G.; Calvo, A.; Baldwin, C.; Brill, C. (2012).  Evaluation of multimodal displays for waypoint navigation. 134-137. doi:10.1109/CogSIMA.2012.6188365
  • Garrett, L.; Animashaun, A.; Army Research Laboratory, Aberdeen Proving Ground, MD, Human Research and Engineering Directorate. (2011). Human systems integration model analyses in support of the joint service transportable decontamination system - small-scale increment I acquisition program
  • Harriott, C. E., & Adams, J. A. (2013). Modeling human performance for human-robot systems. Reviews of Human Factors and Ergonomics, 9(1), 94-130.
  • Havir, T. J., Durbin, D. B., Army Research Laboratory, Aberdeen Proving Ground, MD, Human Research and Engineering Directorate. (2004). Initial assessment of the manpower requirements for the army airborne command and control system (A2C2S) system operator via the Improved Performance Research Integration Tool (IMPRINT)
  • Hoagland, D.G., E.A. Martin, M. Anesgart, B.E. Brett, N.D. LaVine & S. Archer (2001). Combat Automation Requirements Testbed (CART) Case Study One: Results from Modeling Human Behavior Within High Fidelity. Proceedings 10th Computer Generated Forces/Human Behavior Representation Conference, Simulation Interoperability Standards Organization, Orlando, FL.
  • Hunn, B. P., Schweitzer, K. M., Cahir, J. A., Finch, M. M., Army Research Laboratory, Aberdeen Proving Ground, MD, Human Research and Engineering Directorate. (2008). IMPRINT analysis of an unmanned air system geospatial information process
  • Lockett, J., Plocher T. & Dahl, S. (1990).  Crew Reduction in Armored Vehicles Ergonomic Study (CRAVES). Proceedings of the 1990 Ergonomics Conference.
  • Lockett, J. (1997).  Modeling Workload Coping Strategies Using Task Network Modeling. Proceedings of the HCI International 97 conference, San Francisco, CA.
  • Lundquist, Edward H. (2007). How much realism is enough? New processors permit better models and simulation capability. Naval Forces, 28(3), 88.
  • MacMillan, J., Johnson, C. L., Linegang, M. P., Miller, C. A., Parasuraman, R., & Roth, E. M. (2004). Human control of teams of Unmanned Robotic vehicles: Exploring the limits of the possible. Human Factors and Ergonomics Society Annual Meeting Proceedings, 48(3), 523-523.
  • Martin, E.A., M. Anesgart, D.G. Hoagland & B.E. Brett (2001). Goal-Oriented Human Performance Representation in DOD Constructive Simulations: Model Development and Validation. Proceedings AIAA Modeling and Simulation Technologies Conference, Montreal, Quebec, Canada. (AIAA-2001-4415)
  • Mitchell, D. K. (2003).  Advanced Improved Performance Research Integration Tool (IMPRINT) Vetronics Technology Test Bed Model Development; ARL-TN-0208; U.S. Army Research Laboratory: Aberdeen Proving Ground, MD.
  • Mitchell, D. K.; Samms, C.; Henthorn, T. & Wojciechowski, J. (2003).  Trade Study: A Two- Versus Three-Soldier Crew for the Mounted Combat System (MCS) and Other Future Combat System Platforms; ARL-TR-3026; U.S. Army Research Laboratory: Aberdeen Proving Ground, MD.
  • Mitchell, D. K.; McDowell, K. (2008). Using modeling as a lens to focus testing. 477-482. doi:10.1109/CTS.2008.4543967
  • Mueller, S. T., Simpkins, B., Anno, G., Fallon, C. K., Price, O., & McClellan, G. E. (2011). Adapting the task-taxon-task methodology to model the impact of chemical protective gear. Computational and Mathematical Organization Theory, 17(3), 251-271. doi:10.1007/s10588-011-9093-7
  • Schlenoff, C., Raj Madhavan, Albus, J., Messina, E., Barbera, T., & Balakirsky, S. (2005). Fusing disparate information within the 4D/RCS architecture. , 2 8 pp. doi:10.1109/ICIF.2005.1591983.
  • Military, Government and Aerospace Simulation Symposium San Diego, Calif. (2002). Proceedings of the military, government and aerospace simulation (MGA 2002): 2002 advanced simulation technologies conference, San Diego, California, April 24-18, 2002. United States
  • Schweitzer, Kristin M, (2012). Modeling and Analysis of Semi-Automated Fusion in the Intelligence Process.
  • Shiraishi, Jonathan K. (2010). An Imprint Analysis to Supplement the Investigation Into the Grounding of a U.S. Navy Warship.

Human Systems Integration and Human Performance Modeling

  • Allender, L. (2000). Tools for modeling human performance in systems through green-colored glasses: An army perspective. Human Factors and Ergonomics Society Annual Meeting Proceedings, 44(6), 717-717.
  • Booher, H. R., Ed. (2003).  Handbook of Human Systems Integration; New York: Wiley. (see Chapters 11 and 18)
  • Duffy, V.G., Ed. Handbook of Digital Human Modeling: Research for Applied Ergonomics and Human Factors Engineering; Boca Raton, FL. (see Chapter 51)
  • Fitzgerald, Patricia C; Andrews, Dee H; Crabtree, Mark S; Doyal, Jeffrey A; Meador, Douglas P; Walsh, William J. (2008). Incorporating Training Effects in Modeling and Simulation Software.

  • Foyle, D. C., Hooey, B. L., Byrne, M. D., Corker, K. M., Deutsch, S., Lebiere, C., Wickens, C. D. (2005). Human performance models of pilot behavior. Human Factors and Ergonomics Society Annual Meeting Proceedings, 49(12), 1109-1109.
  • Gardiner, Robert A; Nelson, Karen. (2011). Development, Demonstration, Evaluation and Implementation of Defense Safety Oversight Council (DSOC) Mishap Reduction Initiatives to Promote Sustainability and Enhance Mission Readiness Across the Department of Defense. Human Systems Integration Task Force Summary Briefs Report.
  • Ghosh, K., 1982. (2009). Feasibility of a human performance model in consequence management Missouri University of Science and Technology.
  • Glumm, M. M., Kehring, K. L., & White, T. L. (2005). Effects of visual and auditory cues about threat location on target acquisition and attention to auditory communications. Human Factors and Ergonomics Society Annual Meeting Proceedings, 49(3), 347-347.
  • Goodman, T., Miller, M. E., Rusnock, C. F., & Bindewald, J. (2016, March). Timing within human-agent interaction and its effects on team performance and human behavior. In Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2016 IEEE International Multi-Disciplinary Conference on (pp. 35-41). IEEE.
  • Gulum, M. S. (2012). Modeling interruptions of human-in-the loop tasks. ProQuest, UMI Dissertations Publishing.
  • Kelley, T. D. (2003). Symbolic and sub-symbolic representations in computational models of human cognition: What can be learned from biology? Theory & Psychology, 13(6), 847-860. doi:10.1177/0959354303136005.
  • Krausman, Andrea S; Pettitt, Rodger A; Elliott, Linda R. (2007).  Effects of Redundant Alerts on Platoon Leader Performance and Decision Making. ARL-TR-3999; U.S. Army Research Laboratory: Aberdeen Proving Ground, MD.
  • Lorenzen, Christy. (2009).  Integrating Occupational Characteristics into Human Performance Models: IPME Versus ISMAT Approach.  Alion Science and Technology, Boulder CO: Defense Technical Information Center.
  • Meador, D. P. (2008). Modeling training effects on task performance using a human performance taxonomy. ProQuest, UMI Dissertations Publishing.
  • Mitchell, D. K.; Chen, J. Y. C. (2006). Impacting system design with human performance modeling and experiment: Another success story. Human Factors and Ergonomics Society Annual Meeting Proceedings, 50(23), 2477-2477.
  • Foyle, D. C., & Hooey, B. L. (Eds.). (2007). Human performance modeling in aviation. CRC Press.
  • Hockey, G. R. J. (2003). Operator functional state: the assessment and prediction of human performance degradation in complex tasks (Vol. 355). IOS Press.
  • Morgan, E. M. K. (2001). Including the Soldier in Military Simulations: Modeling the Psychological Effects of Anti-Personnel Landmines. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 45, No. 24, pp. 1743-1747). Sage CA: Los Angeles, CA: SAGE Publications.
  • Paulsen, Marianne; Alicia, Thomas J.; Shrader, David M. (2012). Modeling Algorithms for Predicting the Effects of Human Performance in the Presence of Environmental Stressors.
  • NATO Research and Technology Organization Neuilly-Surseine, France (2010). Human Systems Integration for Network Centric Warfare. (HFM-155)
  • Rusnock, C. F., & Geiger, C. D. (2013, January). Using discrete-event simulation for cognitive workload modeling and system evaluation. In IIE Annual Conference. Proceedings (p. 2485). Institute of Industrial and Systems Engineers (IISE).
  • Sargent, Robert A. (2009). Consequence Management Enhancements to Human Systems Integration (HSI) Analytic Tools.
  • Saxton, B. M., Ross, J. M., Braczyk, A., Conway, G. E., Szalma, J. L., Hancock, P. A., & University of Central Florida, Orlando. (2006). A meta-analysis of aperiodic noise stress on human performance
  • Schneider, Michael F; McGrogan, Jason D. (2011). Architecture Based Workload Analysis of UAS Multi-Aircraft Control: Implications of Implementation on MQ-1B Predator.
  • Sebok, A., Wickens, C., Clegg, B., & Sargent, R. (2014, September). Using empirical research and computational modeling to predict operator response to unexpected events. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 58, No. 1, pp. 834-838). Sage CA: Los Angeles, CA: SAGE Publications.
  • Smith, A. M., Borghetti, B. J., & Rusnock, C. F. (2015, September). Improving model cross-applicability for operator workload estimation. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 59, No. 1, pp. 681-685). Sage CA: Los Angeles, CA: SAGE Publications.
  • Sullivan, K. B., Feigh, K. M., Durso, F. T., Fischer, U., Pop, V. L., Mosier, K., Morrow, D. (2011). Using neural networks to assess human-automation interaction. 6A4-1-6A4-10. doi:10.1109/DASC.2011.6096092
  • Therrien, Sakura S. (2002). A Bayesian Model to Incorporate Human Factors in Commanders' Decision Making. Naval Post Graduate School, Monterey, CA.
  • Vincenzi, D. A. (2013). Human performance, situation awareness and automation II: Current research and trends: Taylor and Francis.
  • Walters, B., Bzostek, J., Small, R., & Stachowiak, C. (2004). Comparing methods for placing controls and displays in a cockpit. Human Factors and Ergonomics Society Annual Meeting Proceedings, 48(20), 2431-2431.
  • Walters, B., Archer, R., & Yow, A. (2000). Modeling the combined effects of performance shaping factors on performance: A comparison of two different techniques. Human Factors and Ergonomics Society Annual Meeting Proceedings, 44(17), 153-153.
  • Wojciechowski, Josephine Q; Karna, Vandana; Dorney, L A. (2007). Analysis of the Light Brigade Combat Team Reconnaissance Capability Gap with the Use of a Human Performance Model of the Joint Chemical, Biological, Radiological, and Nuclear Dismountable Reconnaissance System (JCDRS). ARL-TR-4340. Army Research Laboratory, Aberdeen Proving Ground, MD, Human Research and Engineering Directorate.
  • Wojciechowski, J. Q. (2007).  Development of a User-Defined Stressor in the Improved Performance Research Integration Tool (IMPRINT) for Conducting Tasks in a Moving Vehicle; ARL-MR-659. Army Research Laboratory, Aberdeen Proving Ground, MD.
  • Wojciechowski, J. Q. (2007). Modeling human performance with environmental stressors: A case study of the effect of vehicle motion. Human Factors and Ergonomics Society Annual Meeting Proceedings, 51(12), 780-780.
 

Last Update / Reviewed: September 12, 2017