Architectures of Collaborative Virtual Environments for Teamwork Training

Currently, literature points out the lack of studies about collaborative virtual environments with intelligent tools capable of providing automatic evaluation feedback of different collaborative procedures (e.g., surgical, military training). In addition, there is a lack of classifications and methodologies for the implementation of CVEs with simultaneous evaluation of multiple users, making it difficult to standardize and implement such assessment tools. Such facts occur due to a series of issues, such as: complexity and high volume of data involved, inadequate representation of the specialized knowledge involved, amongst others. This work aims at presenting a classification proposal and methodology for the design of a subcategory of traditional CVEs, which we classify as Collaborative Virtual Environments for teamwork Training (CVET). Therefore, we take into account fundamental requirements, such as: number of users, computational and network communication performance, performance of artificial intelligence technique, amongst others.