Human Autonomous Vehicle (HAV): From sickness prevention to emotional response

Abstract: Dynamic driving simulators have been a key tool to reduce time and costs during the design and development of new automobile models or advanced driving assistance systems (ADAS) (Lyga et al., 2020). However, more efforts are needed to enhance the acceptance of new technologies by considering the human factors early in the process.Due to the high development costs or to the low fidelity of the final result, to develop and build a medium cost dynamic driving simulator with a good level of immersivity is not an easy task. The simulator should have a high level of immersivity, to achieve high correlation with field operational tests, and minimize the sickness effect of the simulators. A simulator with these capabilities can be used to validate different devices or systems from the automobile field with users, measuring physiological signals, behavior, movements and telemetry data.IBV has achieved this dynamic driving simulator by using an open-source software, CARLA (Team, n.d.), in which the different scenarios can be simulated. This simulator is based in a client server architecture, a motion platform with 6 degrees of freedom and 550 kg of payload (“Motion Platform PS-6TM-550 (6DoF, 550kg) - Motion Systems,” n.d.), three main screens with two rearview screens and an HMI (Human Machine Interface). This HMI can be used as an additional screen showing relevant travel information to the user, as a display of the user´s signals or as a panel with a driving assistance system among other things.The possibility of validating different products with a dynamic simulator of these characteristics, in which emotional responses associated to the different driving conditions can be generated and evaluated, with defined and customized experimentation conditions, and without having to develop their own simulator, can save a lot of time and money to the different companies.

Keywords: Human factors, simulation sickness, dynamic simulator, validation with users, telemetry, physiological signals, automobile development .

DOI: 10.54941/ahfe1002487

Cite this paper:

​