23 citations · 73 across the 20 of their papers we have counts for
5 papers · 1 filter
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability
Jackie Ayoub, X. Jessie Yang, Feng Zhou
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 autom…
Psychophysiological responses to takeover requests in conditionally automated driving
Na Du, X. Jessie Yang, Feng Zhou
In SAE Level 3 automated driving, taking over control from automation raises significant safety concerns because drivers out of the vehicle control loop have difficulty negotiating…
Enhancing autonomy transparency: an option-centric rationale approach
Ruikun Luo, Na Du, X. Jessie Yang
While the advances in artificial intelligence and machine learning empower a new generation of autonomous systems for assisting human performance, one major concern arises from the…
Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach
Yaohui Guo, X. Jessie Yang
Trust in automation, or more recently trust in autonomy, has received extensive research attention in the past two decades. The majority of prior literature adopted a "snapshot" vi…
Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions
Suresh Kumaar Jayaraman, Dawn M. Tilbury, X. Jessie Yang +2
For safe navigation around pedestrians, automated vehicles (AVs) need to plan their motion by accurately predicting pedestrians trajectories over long time horizons. Current approa…