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Interactive Simulations: History, Features, and Trends

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Human-in-the-Loop Simulations

Abstract

Interactive simulations are well suited for analyzing large and semi-structured problems, especially in which human interaction is an important consideration. Interactive simulations, also known as human-in-the-loop simulations, can be used for generating a better understanding of human behavior under complex situations by visually highlighting features that may not be readily accounted for in traditional simulations. Additionally, they can also be used for systems analysis under operational conditions as well as for simulator-based training. In this chapter, we discuss the differences between interactive simulations versus traditional and animated discrete-event simulations; present a brief historical overview of interactive simulations, highlight the architectural features, and summarize the application and development trends.

This chapter is adapted from the journal article Narayanan S et al. (1997) with permission from SAGE publications.

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References

  • Bell PC (1991) Visual interactive modeling: the past, the present, and the prospects. Eur J Oper Res 54:274–286

    Article  Google Scholar 

  • Bell PC, O’Keefe RM (1987) Visual interactive simulation—History, recent developments, and major issues. Simulation 49(3):109–116

    Article  Google Scholar 

  • Bishop JL, Balci O (1990) General purpose visual simulation system. In: Proceedings of the 1990 winter simulation conference, pp 504–512

    Google Scholar 

  • Buss AH, Stork KA (1996). Discrete-event simulation on the world wide web using Java. In: Proceedings of the 1996 winter simulation conference, San Diego, CA, 780–785

    Google Scholar 

  • Cohen PR (1991) integrated interfaces for decision-support with simulation. In: IEEE computer society proceedings of the 23rd conference on winter simulation

    Google Scholar 

  • Conway R et al (1995) User’s Guide to Xcell Plus: Factory Modeling System, Release 4.0, Scientific Press, Palo Alto, California

    Google Scholar 

  • Craig K, Todd J, Giest J, Narayanan S, Hoagland D (2001) Predicting human operator actions for a constructive simulation using genetic algorithms. In: Proceedings of the 2001 society for computer simulations summer simulation conference

    Google Scholar 

  • Dunkler O, Mitchell CM, Govindraj T, Ammons JC (1988) The effectiveness of supervisory control strategies in scheduling flexible manufacturing systems. IEEE Trans Sys Man Cybern 18:223–237

    Article  Google Scholar 

  • Fishwick PA (1996) Web-based simulation: some personal observations. In: Proceedings of the 1996 winter simulation conference, San Diego, CA, 772–779

    Google Scholar 

  • Gerlach JH, Kuo FY (1991) Understanding human–computer interaction for information systems design. MIS Q 15(4):527–549

    Article  Google Scholar 

  • Gobbertti E, Turner R (1991) Object-oriented design of dynamic graphics applications. In: New trends in animation and visualization. John Wiley and Sons, Chichester, UK, pp 43–58

    Google Scholar 

  • Goldberg A (1990) Information models, views, and controllers. Dr. Dobb’s J 54–61

    Google Scholar 

  • Hurrion RD (1980) An interactive visual simulation system for industrial management. Eur J Oper Res 5(2):86–94

    Article  Google Scholar 

  • Hurrion S (1978) Visual interactive simulation: an aid to decision making. Omega 6(5):419–426

    Article  Google Scholar 

  • Kirkpatrick PF, Bell PC (1989) Visual interactive modeling in industry: results from a survey of visual interactive model builders. Interfaces 19(5):71–79

    Google Scholar 

  • Krasner GE, Pope ST (1988) A cookbook for using the model-view controller user interface paradigm in Smalltalk. J Object Oriented Program -- JOOP 1(3):26--49

    Google Scholar 

  • Lyu J, Gunasekharan (1993) Developing a visual interactive simulation model for flexible manufacturing systems. Int J Oper Prod Manag 13(6):59–67

    Article  Google Scholar 

  • McNab R, Howell FW (1996) Using java for discrete event simulation. In: Proceedings of the twelfth UK computer and telecommunications performance engineering workshop (UKPEW), University of Edinburgh, 219–228

    Google Scholar 

  • Musselman KJ (1986) TESS as a catalyst for change. TIMS/ORSA Joint National Conference

    Google Scholar 

  • Nance RE (1998) Simulation modeling methodology in the wonderfully webbed world. In: Proceedings of the 1998 international conference on web-based modeling and simulation. Available on: http://www.isima.fr/scs/wbms/d36/nanceRE.html

  • Narayanan S, Schneider NL, Patel C, Reddy N, Carrico TM, Dipasquale J (1997) An object-based architecture for developing interactive simulations using Java. Simulation 69(3):153–171

    Article  Google Scholar 

  • Narayanan S, Malu P, Krishna APB, Dipasquale J, Carrico TM (1998) A web-based interactive simulation architecture for airbase logistics system analysis. Int J Ind Eng, 5(4):324–335

    Google Scholar 

  • Narayanan S, Edala NR, Geist J, Kumar K, Ruff HA, Draper M, Haas M (1999) UMAST: a web-based architecture for modeling future uninhabited aerial vehicles. Simulation 73(1):29–39

    Article  Google Scholar 

  • O’Keefe RM (1987) What is visual interactive simulation? (and is the methodology for doing it right?). In: IEEE Proceedings of the 1987 winter simulation conference, pp 461–464

    Google Scholar 

  • Page E (1998) A survey of web based simulations. Available on: http://ms.ie.org/websim/survey/survey.html

  • Paul RJ (1989) Visual simulation: seeing is believing. In: Sharda R, Golden BL, Wasil E, Balci O, Stewart W (eds) Impacts Recent Computer Advances on operations research, publications in operations research Series, vol 9. North-Holland, New York, pp 422–432

    Google Scholar 

  • Pedgen LA et al (1985) Graphical interpretation of output illustrated by a SIMAN manufacturing simulation model. In: Proceedings of the 1985 winter simulation conference, pp 244–251

    Google Scholar 

  • Polanyi M (1966) The tacit dimension. The University of Chicago Press. Routledge, London (ISBN 978-0-226-67298-4 2009 reprint)

    Google Scholar 

  • Shen CC (1998)" Discrete-event simulation on the internet and the Web." In: Proceedings of the 1998 international conference on web-based modeling and simulation. Available at: http://www.isima.fr/scs/wbms/d31/Web_sim.html

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Correspondence to Phani Kidambi .

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Narayanan, S., Kidambi, P. (2011). Interactive Simulations: History, Features, and Trends. In: Rothrock, L., Narayanan, S. (eds) Human-in-the-Loop Simulations. Springer, London. https://doi.org/10.1007/978-0-85729-883-6_1

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  • DOI: https://doi.org/10.1007/978-0-85729-883-6_1

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