Now showing items 1-5 of 5
Investigating drivers’ trust in autonomous vehicles’ decisions of lane changing events
(2020-10-05)
It is potential to improve the interaction between autonomous vehicles (AVs) and drivers by calibrating drivers’ trust in AVs. In this study, we investigated drivers’ trust in AVs’ decisions of changing lanes on a six-lane ...
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability
(2020-12-23)
Technological advances in the automotive industry are bringing automated driving closer to road use. However, one of the most important factors affecting public acceptance of automated vehicles (AVs) is the public’s trust ...
Otto: An Autonomous School Bus System for Parents and Children
(ACM CHI, 2020-02-18)
Technological advances in autonomous transportation systems have brought them closer to road use. However, little research is reported on children’s behavior in autonomous buses (ABs) under real road conditions and on ...
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models
(elsevier, 2021-02-28)
Misinformation of COVID-19 is prevalent on social media as the pandemic un- folds, and the associated risks are extremely high. Thus, it is critical to detect and combat such misinformation. Recently, deep learning models ...