23 citations · 73 across the 20 of their papers we have counts for
7 papers · 1 filter
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline
Yangtao Zhang, X. Jessie Yang, Feng Zhou
The advancement in machine learning and artificial intelligence is promoting the testing and deployment of autonomous vehicles (AVs) on public roads. The California Department of M…
From the Head or the Heart? An Experimental Design on the Impact of Explanation on Cognitive and Affective Trust
Qiaoning Zhang, X. Jessie Yang, Lionel P. Robert
Automated vehicles (AVs) are social robots that can potentially benefit our society. According to the existing literature, AV explanations can promote passengers' trust by reducing…
Predicting Driver Takeover Time in Conditionally Automated Driving
Jackie Ayoub, Na Du, X. Jessie Yang +1
It is extremely important to ensure a safe takeover transition in conditionally automated driving. One of the critical factors that quantifies the safe takeover transition is takeo…
Toward quantifying trust dynamics: How people adjust their trust after moment-to-moment interaction with automation
X. Jessie Yang, Christopher Schemanske, Christine Searle
Objective: We examine how human operators adjust their trust in automation as a result of their moment-to-moment interaction with automation. Background: Most existing studies meas…
A Unified Bi-directional Model for Natural and Artificial Trust in Human-Robot Collaboration
Hebert Azevedo-Sa, X. Jessie Yang, Lionel P. Robert +1
We introduce a novel capabilities-based bi-directional multi-task trust model that can be used for trust prediction from either a human or a robotic trustor agent. Tasks are repres…
Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance
Hebert Azevedo-Sa, X. Jessie Yang, Lionel P. Robert +1
Trust in robots has been gathering attention from multiple directions, as it has special relevance in the theoretical descriptions of human-robot interactions. It is essential for…
Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving
Feng Zhou, X. Jessie Yang, Joost de Winter
Situation awareness (SA) is critical to improving takeover performance during the transition period from automated driving to manual driving. Although many studies measured SA duri…