… the effects of explanations for actions of autonomous vehicles in detail, we consider four
autonomous driving situations with different levels of risk and three types of explanations: no, …

… driver types and general trust level on autonomous vehicles. … explanation necessity dataset
for autonomous vehicles. We limit our scope of explanation format to text-based explanation. …

… without inferences/explanations and autonomous vehicles with interpretable results [24].
A diverse group of people ranging through different age groups were involved in the study. In …

… Our results showed that the explanation type was more … believe that this study provides
valuable insights on the effects of explanations on human perceptions of autonomous vehicles. …

… [54] investigated the effect of explanations on trust through empirical user … explanation types,
simple and attributional, as well as perceived risk on trust in AVs in four autonomous driving …

… 3) semantic interpretation and explanation of scenes as well as the vehicle’s performance.
In … we aim to impact the way in which we trust and assure autonomy of autonomous vehicles: …

… is needed to investigate AV explanations under real-world … either real automated vehicles or
“fake” automated vehicles under … anthropomorphism and trust in automated driving functions …

… explanation interface to answer what needs to be visualized in the car in order for the user
to understand autonomous driving … environment while driving autonomously [5]. It calibrates …

… on trust was observed. In the present study, an autonomous vehicle is defined as a vehicle
that does … This definition corresponds to level 5 on the Society of Automotive Engineers’ (SAE) …

… With the help of SHapley Additive exPlanations (SHAP), we were able to interpret the trust
predictions of XGBoost to further improve the explainability of the XGBoost model. Compared …