23 citations · 73 across the 20 of their papers we have counts for
20 papers
Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction
Yaohui Guo, X. Jessie Yang, Cong Shi
Trust-aware human-robot interaction (HRI) has received increasing research attention, as trust has been shown to be a crucial factor for effective HRI. Research in trust-aware HRI…
Building Trust Profiles in Conditionally Automated Driving
Lilit Avetisyan, Jackie Ayoub, X. Jessie Yang +1
Trust is crucial for ensuring the safety, security, and widespread adoption of automated vehicles (AVs), and if trust is lacking, drivers and the public may not be willing to use t…
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections
Lilit Avetisyan, Aditya Deshmukh, X. Jessie Yang +1
In mixed traffic environments that involve conventional vehicles (CVs) and autonomous vehicles (AVs), it is crucial for CV drivers to maintain an appropriate level of situation awa…
Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams
Yaohui Guo, X. Jessie Yang, Cong Shi
Trust has been identified as a central factor for effective human-robot teaming. Existing literature on trust modeling predominantly focuses on dyadic human-autonomy teams where on…
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…
Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction
Tribhi Kathuria, Yifan Xu, Theodor Chakhachiro +2
This paper develops a novel framework called Providers-Clients-Robots (PCR), applicable to socially assistive robots that support research on shared understanding in human-robot in…
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…
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…
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…
An Automated Vehicle (AV) like Me? The Impact of Personality Similarities and Differences between Humans and AVs
Qiaoning Zhang, Connor Esterwood, X. Jessie Yang +1
To better understand the impacts of similarities and dissimilarities in human and AV personalities we conducted an experimental study with 443 individuals. Generally, similarities…