Enhancing training systems design: Implementing an event-based approach

被引:0
|
作者
Oser, RL [1 ]
Gualtieri, JW [1 ]
Cannon-Bowers, JA [1 ]
机构
[1] USN, Air Warfare Ctr, Training Syst Div, Orlando, FL USA
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
While human factors has become increasingly involved in many aspects of training systems design (e.g., displays, functional allocation), other aspects such as software architectures and databases, have not received the same level of involvement. These aspects are important because they provide the infrastructure by which the training environment is generated. Unfortunately, few frameworks exist to support the design of training infrastructures from a human factors perspective. One framework with potential application is the Event-Based Approach to Training (EBAT). EBAT has been empirically tested, and operationally demonstrated in numerous training environments. EBAT can guide the design of system infrastructures by highlighting linkages between all phases of training (e.g., exercise design, measurement, feedback). The purpose of this paper is to provide an overview of: (a) learning premises important for training system design, (b) the EBAT framework, (c) EBAT-derived design guidelines and engineering payoffs, and (d) future challenges for training systems design.
引用
收藏
页码:1309 / 1313
页数:5
相关论文
共 50 条
  • [31] Event-based modularization of reactive systems
    Malakuti, Somayeh
    Aksit, Mehmet
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8665 : 367 - 407
  • [32] Event-based enhancing prescribed performance control for stochastic non-triangular structure nonlinear systems: a MTBFs-based approach
    Zhu, Yuandong
    Yao, Yangang
    Kang, Yu
    Zhao, Yunbo
    Tan, Jieqing
    Gu, Lichuan
    Liang, Xuexiu
    NONLINEAR DYNAMICS, 2025, 113 (01) : 533 - 545
  • [33] Modelling Functional Behavior of Event-Based Systems: A Practical Knowledge-Based Approach
    Imam, Fahim T.
    Dean, Thomas R.
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016, 2016, 96 : 617 - 626
  • [34] An event-based approach to integrated parametric and discrete fault diagnosis in hybrid systems
    Daigle, Matthew J.
    Koutsoukos, Xenofon D.
    Biswas, Gautam
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2010, 32 (05) : 487 - 510
  • [35] Mining Constraints for Event-based Monitoring in Systems of Systems
    Krismayer, Thomas
    Rabiser, Rick
    Gruenbacher, Paul
    PROCEEDINGS OF THE 2017 32ND IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE'17), 2017, : 826 - 831
  • [36] Developing a DSL-Based Approach for Event-Based Monitoring of Systems of Systems: Experiences and Lessons Learned
    Vierhauser, Michael
    Rabiser, Rick
    Gruenbacher, Paul
    Egyed, Alexander
    2015 30TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE), 2015, : 715 - 725
  • [37] Event-based control of nonlinear systems: An input-output linearization approach
    Stoecker, Christian
    Lunze, Jan
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 2541 - 2546
  • [38] Event-Based Controller Design for a Class of Nolinear Systems via Convex Optimization
    Mousavi, Seyed Hossein
    Marquez, Horacio J.
    2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 1250 - 1255
  • [39] Event-Based Training in Label-Limited Regimes
    Linville, Lisa M.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2022, 127 (01)
  • [40] Event-Based Control for Online Training of Neural Networks
    Zhao, Zilong
    Cerf, Sophie
    Robu, Bogdan
    Marchand, Nicolas
    IEEE CONTROL SYSTEMS LETTERS, 2020, 4 (03): : 773 - 778