Extended reality (XR) technologies have been utilized as effective training tools across many contexts, including military aviation, although commercial aviation has been slower to adopt these technologies. While there is hype behind every new technology, XR technologies have evolved past the emerging classification stage and are at a state of maturity where their impact on training is supported by empirical evidence. Diffusion of innovation theory (Rogers, 1962) presents key factors that, when met, increase the likelihood of adoption. These factors consider the relative advantage, trialability, observability, compatibility, and complexity of the XR technology. Further, there are strategic approaches that should be implemented to address each of these innovation diffusion factors.
This presentation will discuss each diffusion factor, provide exemplar use cases, and outline evidence-backed considerations to improve the probability of XR adoption for training. Considerations will discuss various effects that may occur with the introduction XR technology, such as the novelty effect where improved performance initially improves due to new technology and not because of learning. Key questions will be presented that should be addressed under each diffusion factor that will help guide the information needed to support the argument for XR adoption. Importantly, the quality of research evidence to support XR implementation and adoption is critical to reducing the risk of ineffective training. Therefore, a discussion of research-related considerations will also be presented to ensure an appropriate interpretation of existing XR research literature. The goal is to provide the audience with an objective lens to help them determine whether XR technologies should be adopted for their training needs.
World Aviation Training Summit
April 18-20, 2023, Orlando, FL
April 20, 11:15 AM, Improving the Probability of XR Adoption for Training
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