High-Level Model for Educational Collaborative Virtual Environments Development

2012 ◽  
Author(s):  
Rosa Reis ◽  
Paula Escudeiro ◽  
Benjamin Fonseca
Keyword(s):  
Virtual Environments ◽  
Collaborative Virtual Environments ◽  
Level Model ◽  
Educational Collaborative ◽  
High Level

Automatic Approach to Evaluate Collaborative Interaction in Virtual Environments

2019 ◽  
pp. 1-23 ◽  
Author(s):  
Luis Casillas ◽  
Adriana Peña ◽  
Alfredo Gutierrez
Keyword(s):  
Virtual Environments ◽  
Virtual Space ◽  
Fuzzy Classification ◽  
Collaborative Virtual Environments ◽  
Rule Based ◽  
Layer Analysis ◽  
High Level ◽  
Task Oriented ◽  
Intelligent Tutor ◽  
Time Information

Virtual environments for multi-users, collaborative virtual environments (CVE), support geographical distant people to experience collaborative learning and team training. In this context, monitoring collaboration provides valuable, and in time, information regarding individual and group indicators, helpful for human instructors or intelligent tutor systems. CVE enable people to share a virtual space, interacting with an avatar, generating nonverbal behavior such as gaze-direction or deictic gestures, a potential means to understand collaboration. This chapter presents an automated model and its inference mechanisms to evaluate collaboration in CVE based on expert human rules of nonverbal participants' activity. The model is a multi-layer analysis that includes data filtering, fuzzy classification, and rule-based inference producing a high-level assessment of group collaboration. This approach was applied to a task-oriented session, where two participants assembled cubes in a CVE to create a figure.

Towards an Automated Model to Evaluate Collaboration Through Non-Verbal Interaction in Collaborative Virtual Environments

2018 ◽  
pp. 1570-1586
Author(s):  
Luis Casillas ◽  
Adriana Peña ◽  
Alfredo Gutierrez
Keyword(s):  
Virtual Environments ◽  
Graphical Representation ◽  
Group Performance ◽  
Virtual Space ◽  
Fuzzy Classification ◽  
Collaborative Virtual Environments ◽  
Layer Analysis ◽  
High Level ◽  
Intelligent Tutor ◽  
Time Information

Virtual environments represent a helpful resource for learning and training. In their multiuser modality, Collaborative Virtual Environments (CVE) support geographical distant people to experience collaborative learning and team training; a context in which the automatic monitor of collaboration can provide valuable and in time information, either for human instructors or intelligent tutor systems, about individual and group performance. CVE enable people to share a virtual space where they interact through a graphical representation, generating nonverbal behavior such as gaze-direction or deictic gestures, a potential means to understand collaboration. This paper presents an automated model and its inference mechanisms to evaluate collaboration in CVE based on the nonverbal activity of the participants. The model is a multi-layer analysis that includes: data filtering, fuzzy classification, and rule-based inference producing high-level assessment for group collaboration.

An Overview of the COVEN Platform

2001 ◽  
Vol 10 (1) ◽  
pp. 109-127 ◽  
Author(s):  
Emmanuel Frécon ◽  
Gareth Smith ◽  
Anthony Steed ◽  
Mårten Stenius ◽  
Olov Ståhl
Keyword(s):  
Virtual Environments ◽  
Virtual Environment ◽  
Large Scale ◽  
State Of The Art ◽  
Collaborative Virtual Environments ◽  
Semantic Modeling ◽  
High Level ◽  
Interactive Virtual Environment ◽  
Real Scale

A central aim of the COVEN project was to prototype large-scale applications of collaborative virtual environments (CVEs) that went beyond the existing state of the art. These applications were used in a series of real-scale networked trials that allowed us to gather many interesting human and technological results. To fulfill the technological and experimental goals of the project, we have modified an existing CVE platform: the DIVE (distributed interactive virtual environment) toolkit. In this paper, we present the different services and extensions that have been implemented within the platform during the four years of the project. Such a presentation will exemplify the different features that will have to be offered by nextgeneration CVE platforms. Implementation of the COVEN services has had implications at all levels of the platform: from a new networking layer through to mechanisms for high-level semantic modeling of applications.

Towards an Automated Model to Evaluate Collaboration through Non-Verbal Interaction in Collaborative Virtual Environments

2016 ◽  
Vol 12 (4) ◽  
pp. 7-23 ◽  
Author(s):  
Luis Casillas ◽  
Adriana Peña ◽  
Alfredo Gutierrez
Keyword(s):  
Virtual Environments ◽  
Graphical Representation ◽  
Group Performance ◽  
Virtual Space ◽  
Fuzzy Classification ◽  
Collaborative Virtual Environments ◽  
Layer Analysis ◽  
High Level ◽  
Intelligent Tutor ◽  
Time Information

Virtual environments represent a helpful resource for learning and training. In their multiuser modality, Collaborative Virtual Environments (CVE) support geographical distant people to experience collaborative learning and team training; a context in which the automatic monitor of collaboration can provide valuable and in time information, either for human instructors or intelligent tutor systems, about individual and group performance. CVE enable people to share a virtual space where they interact through a graphical representation, generating nonverbal behavior such as gaze-direction or deictic gestures, a potential means to understand collaboration. This paper presents an automated model and its inference mechanisms to evaluate collaboration in CVE based on the nonverbal activity of the participants. The model is a multi-layer analysis that includes: data filtering, fuzzy classification, and rule-based inference producing high-level assessment for group collaboration.

Modeling and design of role engineering in development of access control for dynamic information systems

2013 ◽  
Vol 61 (3) ◽  
pp. 569-579 ◽  
Author(s):  
A. Poniszewska-Marańda
Keyword(s):  
Information Systems ◽  
Dynamic Information ◽  
Minimal Set ◽  
Distributed Information ◽  
Heterogeneous Information ◽  
System Protection ◽  
Level Model ◽  
Model Independent ◽  
Role Concept ◽  
High Level

Abstract Nowadays, the growth and complexity of functionalities of current information systems, especially dynamic, distributed and heterogeneous information systems, makes the design and creation of such systems a difficult task and at the same time, strategic for businesses. A very important stage of data protection in an information system is the creation of a high level model, independent of the software, satisfying the needs of system protection and security. The process of role engineering, i.e. the identification of roles and setting up in an organization is a complex task. The paper presents the modeling and design stages in the process of role engineering in the aspect of security schema development for information systems, in particular for dynamic, distributed information systems, based on the role concept and the usage concept. Such a schema is created first of all during the design phase of a system. Two actors should cooperate with each other in this creation process, the application developer and the security administrator, to determine the minimal set of user’s roles in agreement with the security constraints that guarantee the global security coherence of the system.

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