SCeVE

Author:

Vellingiri Shanthi1ORCID,McMahan Ryan P.2,Prabhakaran Balakrishnan1

Affiliation:

1. University of Texas at Dallas, Richardson, Texas, USA

2. University of Central Florida, Orlando, Florida, USA

Abstract

Authoring a collaborative, interactive Mixed Reality (MR) tour requires flexible design and development of various software modules for tasks such as managing geographically distributed participants, adaptable travel and virtual camera techniques, data logging for assessment of the incorporated techniques, as well as for evaluating the Quality of Experiences (QoE). In most cases, authors might have to develop all these software modules, instead of focusing only on the virtual environment design. In this article, we propose SCeVE, a component-based framework that supports flexible design and authoring of interactive MR tours by offering ease of access to four major design choices: (i) S ynchronization, (ii) C ollaborative e xploration, (iii) V isualization, and (iv) E valuation. Based on tour requirements, an author can access one or more components (or software libraries) of design choices via SCeVE’s API (Application Programming Interface) services , as demonstrated by the two case studies on group travel in a plant walk MR tour. SCeVE framework is innovative in the sense that it facilitates group travel in virtual environments involving “live” models of participants from geographically distributed sites. SCeVE empowers authors to focus only on the design of the required virtual environments. They can quickly build a diverse set of collaborative MR tours by utilizing the flexibility of SCeVE in terms of the various available options for traveling, rendering on multiple devices, and virtual camera viewpoint computation strategies. By providing data logs of various components, SCeVE facilitates performance evaluation of the various strategies used as well as the user experience in collaborative MR tours. SCeVE is designed in an extensible manner, allowing authors to add devices and software services as additional components.

Funder

US Army Research Office

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture

Reference77 articles.

1. AltSpaceVR. 2015. AltSpaceVR. Retrieved from https://altvr.com/. AltSpaceVR. 2015. AltSpaceVR. Retrieved from https://altvr.com/.

2. Optimal camera path planning for 3D visualisation

3. Amazon. [2004]. Amazon Sumerian. Retrieved from https://aws.amazon.com/sumerian/. Amazon. [2004]. Amazon Sumerian. Retrieved from https://aws.amazon.com/sumerian/.

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