Publication Details
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Kai Holländer
In AVs We Trust: Conceptions to Overcome Trust Issues in Automated Vehicles Presented at the workshop "Trust calibration for human-AV interactions", July 11, 2021, Workshop held online. CC BY-SA 4.0 License. (bib) |
To take advantage of the full potential of highly automated vehicles (AVs), users need to trust the system enough to be willing to engage with the novel technology. In this context, users of automated vehicles face the challenge of understanding the system capabilities. While interacting with an AV users need to calibrate between overtrust (trusting the vehicle beyond its capabilities and underestimation of the consequences if the system fails) and undertrust (not relying on the vehicle even though it is capable of handling the situation perfectly well). For this work I look at crucial aspects which should be considered for the calibration of trust, such as: proper training, appropriate user interfaces and how to possibly measure trust. I believe it is very important that users of AVs understand the systems capabilities and calibrate their trust accordingly. The findings and ideas of this work are mainly based on previous work which has been revised regarding trust in AVs. The most important takeaway is that users of AVs need specific training and a mental model that differs from concepts for manually driven vehicles. |