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Toward Development Tools for Augmented Reality Applications – A Practitioner Perspective

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Enterprise and Organizational Modeling and Simulation (EOMAS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 332))

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Abstract

Augmented Reality (AR) commoditized development kits by Apple and Google, software products from IBM and PTC, and eyewear from Microsoft, Epson and ODG are driving a new wave of AR-based business use cases. Yet, today’s development tools for desktop or mobile applications do not natively contain aspects of natural interactions in such immersive environments. There is a gap between the need to understand and capture AR-related functional and non-functional requirements, and the state of modeling, testing, and simulation tools that AR developers have at their disposal. Specifically, how does one elicit and specify AR requirements, evaluate users’ experience, simulate and validate business usefulness. In addition, AR developers should assure that interactions with digital overlay are safe for people, and refrain from violating information security and privacy requirements. The paper discusses concerns for the creation of development tools for AR-based application, driven by a Visual Operation Guidance use case, and analyzed according to AR development steps of Object Recognition, Contextual Enrichment and Guidance. Exemplifying non-functional aspects, the paper presents new Safety, Privacy and Information Security concerns, triggered by investigating the nature of AR applications. It is the goal of this paper to inspire research by the academia to formally analyze, design and propose mapping and capturing these concerns in usable tools, that fit developers’ cognitive abilities, in order to expedite the creation of AR-based business processes and solutions.

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Hadar, E. (2018). Toward Development Tools for Augmented Reality Applications – A Practitioner Perspective. In: Pergl, R., Babkin, E., Lock, R., Malyzhenkov, P., Merunka, V. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2018. Lecture Notes in Business Information Processing, vol 332. Springer, Cham. https://doi.org/10.1007/978-3-030-00787-4_7

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  • DOI: https://doi.org/10.1007/978-3-030-00787-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00786-7

  • Online ISBN: 978-3-030-00787-4

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