Development of simulation interfaces for evaluation task with the use of physiological data and virtual reality applied to a vehicle simulator

This paper aims at describing an experimental platform used to evaluate the performance of individuals at training immersive physiological games. The platform proposed is embedded in an immersive environment in a CAVE of Virtual Reality and consists on a base frame with actuators with three degrees of freedom, sensor array interface and physiological sensors. Physiological data of breathing, galvanic skin resistance (GSR) and pressure on the hand of the user and a subjective questionnaire were collected during the experiments. The theoretical background used in a project focused on Software Engineering, Biomedical Engineering in the field of Ergonomics and Creative Technologies in order to presents this case study, related of an evaluation of a vehicular simulator located inside the CAVE. The analysis of the simulator uses physiological data of the drivers obtained in a period of rest and after the experience, with and without movements at the simulator. Also images from the screen are captured through time at the embedded experience and data collected through physiological data visualization (average frequency and RMS graphics). They are empowered by the subjective questionnaire as strong lived experience provided by the technological apparatus. The performed immersion experience inside the CAVE allows to replicate behaviors from physical spaces inside data space enhanced by physiological properties. In this context, the biocybrid condition is expanded beyond art and entertainment, as it is applied to automotive engineering and biomedical engineering. In fact, the kinesthetic sensations amplified by synesthesia replicates the sensation of displacement in the interior of an automobile, as well as the sensations of vibration and vertical movements typical of a vehicle, different speeds, collisions, etc. The contribution of this work is the possibility to tracing a stress analysis protocol for drivers while operating a vehicle getting affective behaviors coming from physiological data, mixed to embedded simulation in Mixed Reality.