USER-CHI is an innovative project aimed at promoting electromobility in Europe, by coming up with solutions that improve the experience of drivers during the charging process. This article presents the main results obtained in the qualitative research work carried out within the context of the project, which users from six different EU countries have taken part in.
The Instituto de Biomecánica (IBV) has recently expanded its facilities by renovating its Automotive Simulation Laboratory thanks to a new dynamic driving simulator (HAV - Human Autonomous Vehicle) that allows us to emulate highly realistic environments by adding movement, incorporating virtual reality environments and integrating driver/passenger sensorization to evaluate the way of driving and to measure physiological parameters (such as breathing rate, heart rate or the direction of the gaze) that make it possible to determine the physical, cognitive and emotional state of the driver and the passenger.
HAV joins the family of IBV laboratories (which already includes the exceptional Human Analysis Lab - HAL that is used to capture the shape of the body in motion, the Climate Comfort Lab or the Co-creation Lab) all of which are focused on improving the development of advanced products in collaboration with our clients.
The acceptability of connected and autonomous vehicles is a complex process involving several factors including individual, social, cognitive and perceptive factors, among others. The SUaaVE project has built a model for evaluating emotions in order to integrate the user's emotions and sensations into the behavior of an autonomous vehicle. The basis of this model is a set of rules that determine the emotion that a person is feeling, based on environmental data and data from the individual themself.
Analyzing new on-board and driving assistance systems requires complex and costly tests. The possibility of analyzing the complexity and driver risks associated to the use of these systems from the early stages of the development is key to guarantee safety and lower development costs.
With this purpose, a cognitive model (boxes diagram that represents the thinking process of a person in certain tasks or activities) of a vehicle driver has been developed. The model includes the three different levels of decision required for properly driving: strategic, navigation and control. The model has been implemented as a Discrete Event Model and includes a model of Declarative Memory and a Model for Advanced Workload Analysis. Nowadays, a modified scenario of the Lane Change Test (LCT) has been already implemented and it is about to be validated with real users. In the coming months, the Model should will be able to drive itself the LCT in the simulation platform at Instituto de Biomecánica (IBV), emulating the behavior of real users.