Automated vehicles are becoming increasingly important in today’s society, offering diverse advantages over manually operated vehicles. However, we can only truly benefit from them if we utilise...Show moreAutomated vehicles are becoming increasingly important in today’s society, offering diverse advantages over manually operated vehicles. However, we can only truly benefit from them if we utilise them in a safe way. Achieving safe interactions with automated vehicles depends on the passengers having an appropriate level of trust in the vehicle; this requires a process called trust calibration. Trust calibration entails that passengers rely on the vehicle when appropriate, but intervene in situations when the car’s capabilities fall short. To learn about the process of trust calibration and the factors that influence how much we trust automated vehicles, we conducted this study. Two groups of participants underwent a driving simulation, experiencing either a ride in a conventional taxi with a human driver or an automated vehicle, during which they experienced a dangerous situation. Following the incident, trust levels in both our conditions dropped; trust did not differ between the two groups, however. Additionally, we explored the potential correlation between participants’ self-esteem and trust levels, but no significant relationship was found. Our findings indicate that the dangerous situation prompted heightened caution among participants, initiating a process of trust calibration that was highly susceptible to the drivers’ or cars’ actions. Through this study we wanted to contribute to the understanding of trust calibration and shed light on factors influencing trust in automated vehicles. This knowledge can ensure the seamless integration of automated vehicles into transportation systems while considering safety and user trust.Show less
