Collaborative virtual environments (CVE) are usually evaluated according to the following aspects: cohesion between team members, implicit communication, and task performance. The degree of user awareness is another important aspect that deserves attention, especially when the CVE is 3D and immersive. 3DCVEs have the main goal of attaining a high degree of teamwork by exposing the team members to a suitable level of immersion that normally involves the stimulus of more than one sense, normally vision, hearing and touch. In this work, we present and discuss a new approach to measure the collaboration degree in immersive 3DCVEs. User awareness is measured by monitoring the use of the interaction and visualization schemes provided by the VE from different points of view, such as self awareness in a collaborative team, awareness of the other, and awareness of the work group. We conducted a case study where two users simultaneously immersed in the same VE were invited to walk together, assuming different roles. One user was invited to guide his colleague and, afterwards, the roles were swapped to guarantee equal participation, individual responsibility and positive interdependence, which are all mandatory features in a collaborative task.

Este artículo presenta el diseño y construcción de un prototipo de bajo costo de un sistema inmersión virtual de dos pantallas. Se describen los detalles más importantes de la implementación y se muestran las ventajas y problemas de diferentes arquitecturas posibles para el montaje físico. Se construyeron tres prototipos, uno de mesa y dos de tamaño real, sobre los cuales se realizaron diferentes pruebas con animaciones creadas en un software de modelado y animación 3D.

Driver identification refers to the process whose primary purpose is identifying the person behind the steering wheel using collected information about the driver him/herself. The constant monitoring of drivers through sensors generates great benefits in advanced driver assistance systems (ADAS), to learn more about the behavior of road users. Currently, there are many research works that address the subject in search of creating intelligent models that help to identify vehicle users in an efficient and objective way. However, the different methodologies proposed to create these models are based on data generated from sensors that include different vehicle brands on routes established in real environments, which, although they provide very important information for different purposes, in the case of driver identification, there may be a certain degree of bias due to the different situations in which the route environment may change. The proposed method seeks to intelligently and objectively select the most outstanding statistical features from motor activity generated in the main elements of the vehicle with genetic algorithms for driver identification, this process being newer than those established by the state-of-the-art. The results obtained from the proposal were an accuracy of 90.74% to identify two drivers and 62% for four, using a Random Forest Classifier (RFC). With this, it can be concluded that a comprehensive selection of features can greatly optimize the identification of drivers.

This work presents an approach to detect the emotional state of users immersed in a virtual environment by involving them in an activity to relieve their emotional response. Likewise, the main aspect is to identify the current emotional state by monitoring a set of biometrics, the principal activity involves a signal based analysis of emotional processing in order to validate the height interpretations.

Collaborative Virtual Environments (CVEs), defined as systems that allow performing some collaborative tasks in a virtual world, were proposed since 1990. From the beginning, these systems were developed as particular applications of Computer-Supported Cooperative Work (CSCW) in a virtual reality world, with specific restrictions on both collaborative work and technological (hardware and software) requirements. Therefore, design guidelines which could be applied to new developments have not been proposed. This paper presents a general framework for designing and developing CSCW systems in virtual 3D environments, which integrates new methodologies that provide clear and formal techniques to develop CSCW, interactive and 3D systems.