Simulator Fidelity: A Concept Paper

Hays, Robert T.

doi:10.21236/ada101475

Cited by 31 publications

(20 citation statements)

References 7 publications

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“…The second aspect worth monitoring for change in training simulators is fidelity. Originally, fidelity in the context of simulators was defined as the accuracy of the simulator's imitation of the operational equipment, environment and tasks [68]. The concept has since developed and has been viewed from three perspectives: physical, functional and psychological [69].…”

Section: Fidelitymentioning

confidence: 99%

A Framework for Monitoring Evolution and its Drivers in Training Simulators

Hvannberg

2019

JoIS

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Software systems evolve with societal, business and technological changes. Because of these changes, socio-technical systems need to adapt to new situations that were unknown at the time of design. Good knowledge of software system evolution can help with that adaption. Although the evolution of software systems has been broadly debated, little research has been conducted on the specific genre of software systems and even less empirical research has been performed on the evolution of interactive software. We propose a three-factor framework which consists of identifying the changes during the evolution of training simulators, the drivers for those changes and how the changes effect innovation and robustness of the training simulators. In reviewing the literature on training simulators, we argue for this framework. The contribution of this paper is a framework that can be used to carry out empirical studies on the evolution of training simulators. Interaction ScienceSoftware systems evolve with societal, business and technological changes. Software technologies are said to evolve in a Darwinian manner by co-evolving with human culture [1]. Societal changes, including the migration of people and workers, poverty, health and education, can influence how software systems evolve. Business operations and their marketplace can be drivers of the evolution of software systems. Furthermore, innovations in technologies for building software systems influence their evolution. Because of these changes, today's sociotechnical systems need to adapt to new situations that were unknown at the time of design [2]; good knowledge of interactive software system evolution can help with that adaptation. Sociotechnical systems cover hardware, software, personal and community aspects [3] and when we refer to interactive software systems in this paper, we are not limiting the discussion to the software and its users. An example of a sociotechnical system is a training simulator for managing the response to large scale accidents such as those involving aircraft or trains. It concerns the hardware used, the software developed, the trainers and trainees using the system, and the community surrounding the professions and stakeholders. The development of such training simulators is costly. Training simulators can be long-lived up to several decades and thus undergo various changes in the course of use. Examples of these are changes because of improved work processes that are discovered during training exercises or real response, or demand for higher fidelity as trainees, for example firefighters training to extinguish fires.Researchers have debated whether there exist such things as revolutionary products, or inventions, or if all are evolutionary [4, p.86], created in small steps visible only to the designer but invisible to the consumer [5, p.2]. Vicente [6] distinguished between revolutionary design and evolutionary design problems. Whereas in the former, the constraints decided on in past versions can change, in the latter, the constraints...

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Section: Fidelitymentioning

confidence: 99%

A Framework for Monitoring Evolution and its Drivers in Training Simulators

Hvannberg

2019

JoIS

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“…2,21,22 Specifically, this involves the degree to which a simulation recreates the sensory characteristics (eg, look, feel, sound, smell), personnel (eg, patients, nurses, technicians, doctors), and equipment (eg, EKG, IV) of the operational task environment. 23,24 High levels of physical fidelity can result in very close replications of the task environment. Due to the readily observable sensory nature of physical fidelity, it is the most easily recognized of the 3 dimensions of fidelity.…”

Section: Conceptualizing Fidelity For Cmementioning

confidence: 99%

Judicious Use of Simulation Technology in Continuing Medical Education

Curtis

DiazGranados

Feldman

2012

Journal of Continuing Education in the Health Professions

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Use of simulation-based training is fast becoming a vital source of experiential learning in medical education. Although simulation is a common tool for undergraduate and graduate medical education curricula, the utilization of simulation in continuing medical education (CME) is still an area of growth. As more CME programs turn to simulation to address their training needs, it is important to highlight concepts of simulation technology that can help to optimize learning outcomes. This article discusses the role of fidelity in medical simulation. It provides support from a cross section of simulation training domains for determining the appropriate levels of fidelity, and it offers guidelines for creating an optimal balance of skill practice and realism for efficient training outcomes. After defining fidelity, 3 dimensions of fidelity, drawn from the human factors literature, are discussed in terms of their relevance to medical simulation. From this, research-based guidelines are provided to inform CME providers regarding the use of simulation in CME training.

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“…Such questions, of course, reflect the old issue of simulation fidelity. Simply stated, fidelity refers to the degree to which the simulator resembles the physical and functional characteristics of the equipment which is king simulated (Hays, 1980). Since higher fidelity simulators typically cost m r e than simulators with lower degrees of fidelity, training system developers would like to know how much the fidelity of a simulator may be degraded before training effectiveness suffers.…”

Section: Introductionmentioning

confidence: 99%

Simulator Fidelity in Electro-Mechanical Maintenance Training

Allen

Hays²

1983

Proceedings of the Human Factors Society Annual Meeting

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A program of research aimed at investigating the degree of functional and physical fidelity needed in maintenance training simulators is described. A unique aspect of this work is the use of a generic reference system to serve as both an actual equipment trainer and system for simulation. This system as well as five training simulators differing in their functional and physical resemblance to the reference system are described. Program plans, objectives, and preliminary observations are discussed.

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Simulator Fidelity: A Concept Paper

Cited by 31 publications

References 7 publications

A Framework for Monitoring Evolution and its Drivers in Training Simulators

A Framework for Monitoring Evolution and its Drivers in Training Simulators

Judicious Use of Simulation Technology in Continuing Medical Education

Simulator Fidelity in Electro-Mechanical Maintenance Training

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