8 citations · 36 across the 12 of their papers we have counts for
15 papers
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures
Jackie Ayoub, Lilit Avetisian, X. Jessie Yang +1
Trust calibration presents a main challenge during the interaction between drivers and automated vehicles (AVs). In order to calibrate trust, it is important to measure drivers' tr…
Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty
Bo Fu, Tribhi Kathuria, Denise Rizzo +4
This work presents a framework for multi-robot tour guidance in a partially known environment with uncertainty, such as a museum. In the proposed centralized multi-robot planner, a…
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…