research
∙
06/28/2023
Building Trust Profiles in Conditionally Automated Driving
Trust is crucial for ensuring the safety, security, and widespread adopt...
share
research
∙
12/01/2022
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures
Trust calibration presents a main challenge during the interaction betwe...
research
∙
07/30/2022
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data
Advanced driver assistance systems (ADAS) are designed to improve vehicl...
research
∙
07/15/2022
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality
With the level of automation increases in vehicles, such as conditional ...
research
∙
06/18/2022
Anticipated emotions associated with trust in autonomous vehicles
Trust in automation has been mainly studied in the cognitive perspective...
research
∙
12/08/2021
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving
Understanding how trust is built over time is essential, as trust plays ...
research
∙
07/20/2021
Predicting Driver Takeover Time in Conditionally Automated Driving
It is extremely important to ensure a safe takeover transition in condit...
research
∙
03/01/2021
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models
Misinformation of COVID-19 is prevalent on social media as the pandemic ...
research
∙
12/25/2020