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Journal Articles LNCS Transactions on Computational Science Year : 2020

Action sequencing in VR, a no-code approach

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Abstract

In many domains, it is common to have procedures, with a given sequence of actions to follow. To perform such procedures, virtual reality is a helpful tool as it allows to safely place a user in a given situation as many times as needed, without risk. Indeed, learning in a real situation implies risks for both the studied objector the patient-(e.g. badly treated injury) and the trainee (e.g. lack of danger awareness). To do this, it is necessary to integrate the procedure in the virtual environment, under the form of a scenario. Creating such a scenario is a difficult task for a domain expert, as the coding skill level needed for that is too high. Often, a developer is needed to manage the creation of the virtual content, with the drawbacks that are implied (e.g. time loss and misunderstandings). We propose a complete workflow to let the domain expert create their own scenarized content for virtual reality, without any need for coding. This workflow is divided in two steps: first, a new approach is provided to generate a scenario without any code, through the principle of creating by doing. Then, efficient methods are provided to reuse the scenario in an application in different ways, for either a human user guided by the scenario, or a virtual actor controlled by it.
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Dates and versions

hal-02879073 , version 1 (23-06-2020)

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Flavien Lécuyer, Valérie Gouranton, Adrien Reuzeau, Ronan Gaugne, Bruno Arnaldi. Action sequencing in VR, a no-code approach. LNCS Transactions on Computational Science, 2020, pp.57-76. ⟨10.1007/978-3-662-61983-4_4⟩. ⟨hal-02879073⟩
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