Designing and calibrating trust through situational awareness of the vehicle (SAV) feedback

摘要

Based on the literature and an exploratory survey with 291 participants that we have deployed, factors that can influence users' trust into automated vehicles have been identified. Twelve experts from the fields of Human Factors, Robotics, Navigation, Positioning and Connectivity fields have been interviewed either face to face or by phone for their insights regarding the importance and use of the Situational Awareness of the Vehicle (sensing, positioning, processing and acting). The experts expressed their opinions regarding the most appropriate types of feedback that can lead to a better calibration of trust in the automated vehicles as well as offered insights into the need to avoid issues such as mode confusion or overloading users with information. Following up on the results obtained we propose a visual interface to be used as a tool to calibrate the trust of the users in automated vehicles. Furthermore, we offer insights for potential hand-over and take-over of control issues as well as general guidelines for the design of the HMI in highly automated vehicles. Moreover, we propose an initial working definition for the Situational Awareness of the Vehicle.