When Model Driven Engineering meets virtual reality: Feedback from application to the Collaviz framework

Duval, Thierry; Blouin, Arnaud; Jézéquel, Jean-Marc

doi:10.1109/searis.2014.7152798

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Yet, these requirements follow the recommendations that can be found in the literature. Indeed, our will to provide an high-level interaction model is in accordance with the statement for systems of model in [20], the statement for splitting interaction behaviour from event behaviour in [18] or the statement for focusing more on the behaviour of the shared virtual objects than on 3D graphics management or distribution and synchronisation issues in [7].…”

Section: Discussionmentioning

confidence: 91%

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#FIVE : High-level components for developing collaborative and interactive virtual environments

Bouville

Gouranton

Boggini

et al. 2015

2015 IEEE 8th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)

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This paper presents #FIVE (Framework for Interactive Virtual Environments), a framework for the development of interactive and collaborative virtual environments. #FIVE has been developed to answer the need for an easier and a faster conception and development of virtual reality applications. It has been designed with a constant focus on re-usability with as few hypothesis as possible on the final application in which it could be used. Whatever the chosen implementation for the Virtual Environment (VE), #FIVE : (1) provides a toolkit that eases the declaration of possible actions and behaviours of objects in the VE, (2) provides a toolkit that facilitates the setting and the management of collaborative interactions in a VE, (3) is compliant with distribution of the VE on different setups and (4) proposes guidelines to efficiently create a collaborative and interactive VE. It is composed of several modules, among them, two core modules : the relation engine and the collaborative interaction engine. On the one hand, the relation engine manages the relations between the objects of the environment. On the other hand, the collaborative interaction engine manages how users can collaboratively control objects. The modules that compose the #FIVE framework can be used either independently or simultaneously, depending on the requirements of the application. They can also communicate and work with other modules thanks to an API. For instance, a scenario engine can be plugged to any or both of the #FIVE modules if the application is scenario-based. #FIVE is a work in progress, new core modules will later be proposed. Nevertheless, it has already been used in some VR applications by several persons in our lab. The feedbacks we obtained are rather positive and we intent to further develop #FIVE with additional functionalities, notably by extending it to the control of avatars whether they are controlled by a user or by the system.

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Section: Discussionmentioning

confidence: 91%

“…Eventually, in [7], the authors are especially interested in the development of collaborative VE. They highlight three limitations that must be addressed by CVE frameworks.…”

Section: Reflecting On An Easier and Faster Development Of Cvementioning

confidence: 99%

#FIVE : High-level components for developing collaborative and interactive virtual environments

Bouville

Gouranton

Boggini

et al. 2015

2015 IEEE 8th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)

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“…In the literature, we can find several strategies for software and video game development under a model-driven approach [35][36][37][38]. Some of these proposals focus on reducing the number of errors, the time required, and development costs, thua favoring higher productivity [39].…”

Section: Related Workmentioning

confidence: 99%

Model-Driven Approach of Virtual Interactive Environments for Enhanced User Experience

Cardona-Reyes

Muñoz-Arteaga

Mitre-Ortiz³

et al. 2021

Applied Sciences

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The video game and entertainment industry has been growing in recent years, particularly those related to Virtual Reality (VR). Therefore, video game creators are looking for ways to offer and improve realism in their applications in order to improve user satisfaction. In this sense, it is of great importance to have strategies to evaluate and improve the gaming experience in a group of people, without considering the fact that users have different preferences and, coupled with this, also seeks to achieve satisfaction in each user. In this work, we present a model to improve the user experience in a personal way through reinforcement learning (RL). Unlike other approaches, the proposed model adjusts parameters of the virtual environment in real-time based on user preferences, rather than physiological data or performance. The model design is based on the Model-Driven Architecture (MDA) approach and consists of three main phases: analysis phase, design phase, and implementation phase. As results, a simulation experiment is presented that shows the transitions between undesired satisfaction states to desired satisfaction states, considering an approach in a personal way.

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“…Model-driven engineering can also deal with the development of 3D Virtual Environments [7]. The configuration of the 3D content and the deployment on various software and hardware platforms can be automated through code generation.…”

Section: D Solutionsmentioning

confidence: 99%

3DPlasticToolkit: Plasticity for 3D User Interfaces

Lacoche

Duval

Arnaldi

et al. 2019

Virtual Reality and Augmented Reality

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The goal of plasticity is to ensure usability continuity whatever the context of use. This context must be modeled into the system and possibly taken into account to adapt the final application. The difficulty to handle plasticity for 3D applications comes from the lack of solutions for developers and designers to model and take these constraints into account. This paper introduces new models designed to deal with plasticity for Virtual Reality (VR) and Augmented Reality (AR). These models are implemented in a software solution: 3DPlasticToolkit. It aims to provide a solution for developing 3D applications that can automatically fit any context of use. This context of use includes a set of 3D hardware and environmental constraints, such as user preferences and available interaction devices. 3DPlasticToolkit includes tools for modeling this context and for creating application components independently from it. We propose an adaptation engine based on a scoring algorithm to dynamically create the most suited 3D user interfaces according to the context of use at runtime. We use a furniture planning scenario to show how these adaptations can impact interactions and content presentation.

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When Model Driven Engineering meets virtual reality: Feedback from application to the Collaviz framework

Cited by 5 publications

References 14 publications

#FIVE : High-level components for developing collaborative and interactive virtual environments

#FIVE : High-level components for developing collaborative and interactive virtual environments

Model-Driven Approach of Virtual Interactive Environments for Enhanced User Experience

3DPlasticToolkit: Plasticity for 3D User Interfaces

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