Desktop Minigun Trainer Figure 15: Observational features underpinning Minigun “Desktop” trainer development. Source: Author’s Image Archive EOD Search & Planning Tool Figure 16: Observational features underpinning early explosive ordnance search & disposal training / planning system demonstrator. Source: Author’s Image Archive 26
3.1 Real-World Observations & Relevance to Fidelity – Some Introductory Comments In very general terms, fidelity is a term used to describe the extent to which a simulation represents the real world, including natural <strong>and</strong> man-made environments (Figure 17), systems <strong>and</strong>, increasingly, participants or agents. However, when applied to simulation, it becomes apparent from the literature that there are many variations on the theme of fidelity. Physical fidelity, or engineering fidelity (as coined by Miller in 1954 23 ), relates to how the Virtual Environment <strong>and</strong> its component objects mimic the appearance <strong>and</strong> operation of their real-world counterparts. In contrast, psychological fidelity can be defined as the degree to which simulated tasks reproduce behaviours that are required <strong>for</strong> the actual, real-world target application. Psychological fidelity has also been more closely associated with positive transfer of training than physical fidelity <strong>and</strong> relates to how skills <strong>and</strong>/or knowledge acquired during the use of the simulation – attention, reaction 27 Figure 17: Real (upper) <strong>and</strong> virtual scenes from Project Gotham Racing 3 (Xbox). Source: www.schrankmonster.de times, decision making, memory, multi-tasking capabilities – manifest themselves in real-world or real operational settings. In many examples of simulation design it has become apparent that physical <strong>and</strong> psychological fidelities do not necessarily correlate well – more <strong>and</strong> more physical fidelity does not necessarily guarantee better psychological fidelity. In Figure 18, <strong>for</strong> example, can the same learning <strong>and</strong> skills transfer (psychological fidelity) be achieved by exploiting the lower physical fidelity virtual human anatomy in this sequence (i.e. images 1 or 2), or those of higher physical fidelity (4 or 5, with associated higher costs <strong>and</strong> longer development times), or something in between? Establishing the components of a task that will ultimately contribute to how psychological fidelity is implemented within a simulation is not an exact science 24 . Observational task analyses need to be conducted with care if those human per<strong>for</strong>mance elements of relevance to defining psychological fidelity are to be isolated effectively. Recent experience in developing serious games or Virtual Environments <strong>for</strong> part-task training applications (in defence <strong>and</strong> medical sectors, at least) suggests that, when observing tasks, there are four key classes of fidelity to be aware of, each of which impact on defining the ultimate physical <strong>and</strong> psychological attributes of the simulation <strong>and</strong> each of which will be discussed in more detail in subsequent sections of this document. They are: • Task Fidelity - the design of appropriate sensory <strong>and</strong> behavioural features into the end user’s task that support the delivery of the desired learning effect. • <strong>Interactive</strong> Technology “Fidelity” - defined by real-world task coupling observations, interactive technology fidelity is the degree to which input (control) <strong>and</strong> display technologies 23 Miller, R.B. (1954). “Psychological Considerations in the Designs of Training Equipment”, Wright Air Development Center, Wright Patterson Air Force Base, Ohio. 24 Tsang, P.S. & Vidulich, M. (2003), “Principles <strong>and</strong> Practice of Aviation Psychology”, <strong>Human</strong> <strong>Factors</strong> in Transportation Series, Lawrence Erlbaum Associates.