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Augmented reality technology selection based on integrated QFD-AHP model

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In the last decade, Augmented Reality has become increasingly popular. As improved performances are gathered in terms of mature hardware and software tools, we are observing the stemming of a huge number of applications of this technology both in the entertainment and in the industrial domains. On the one hand, such applications are usually claimed to bring benefits in terms of productivity or enhancement of the human’s capability to perform tasks. On the other hand, researchers and developers seem not to adequately consider the different meanings that AR assumes when implemented through visualization devices that can differ significantly in nature and in their capability to provide a mixed real-virtual scenario. In this paper, we describe a user-centred method based on an integrated QFD-AHP approach to select the best visualization display technology with regard to a specific application context. The aim is to establish a repeatable and documented process for the identification of the technology that best suits and mitigates the acceptability risks of the transition from a legacy working environment to an AR based operational environment. The method has been developed in the framework of the RETINA (Resilient Synthetic Vision for Advanced Control Tower Air Navigation Service Provision) project involving the end users, in this case, air traffic controllers. Nevertheless, it can be generalised and applied to other contexts of use. Furthermore, in order to be resilient to the fast, technological development in AR, it can be used to update the results as improvements arise in the performance level of the display devices in a specific technology.

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The work presented in this paper has received funding from the SESAR Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under Grant agreement No 699370.

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Correspondence to Sara Bagassi.

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Bagassi, S., De Crescenzio, F. & Piastra, S. Augmented reality technology selection based on integrated QFD-AHP model. Int J Interact Des Manuf 14, 285–294 (2020). https://doi.org/10.1007/s12008-019-00583-6

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  • Augmented reality
  • Air traffic control
  • Quality function deployment (QFD)
  • Analytic hierarchy process (AHP)
  • Human machine interface