Xi Jessie Yang

Orcid: 0000-0001-6071-0387

Affiliations:
  • University of Michigan, USA


According to our database1, Xi Jessie Yang authored at least 67 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Designing Healthcare Robots at Home for Older Adults: A Kano Model Perspective.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures.
IEEE Trans. Intell. Transp. Syst., December, 2023

Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation.
Hum. Factors, 2023

Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty.
CoRR, 2023

May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability.
CoRR, 2023

Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming.
CoRR, 2023

Building Trust Profiles in Conditionally Automated Driving.
CoRR, 2023

Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections.
CoRR, 2023

The Impact of Modality, Technology Suspicion, and NDRT Engagement on the Effectiveness of AV Explanations.
IEEE Access, 2023

Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction.
IROS, 2023

TIP: A Trust Inference and Propagation Model in Multi-Human Multi-Robot Teams.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022
Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline.
IEEE Trans. Intell. Transp. Syst., 2022

Predicting Driver Takeover Time in Conditionally Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task.
IEEE Robotics Autom. Lett., 2022

Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort.
npj Digit. Medicine, 2022

Individual Differences and Expectations of Automated Vehicles.
Int. J. Hum. Comput. Interact., 2022

Evaluating Effects of Enhanced Autonomy Transparency on Trust, Dependence, and Human-Autonomy Team Performance over Time.
Int. J. Hum. Comput. Interact., 2022

Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation.
CoRR, 2022

Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty.
CoRR, 2022

Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2021
Reverse Psychology in Trust-Aware Human-Robot Interaction.
IEEE Robotics Autom. Lett., 2021

A Unified Bi-Directional Model for Natural and Artificial Trust in Human-Robot Collaboration.
IEEE Robotics Autom. Lett., 2021

Performance evaluation of a prescription medication image classification model: an observational cohort.
npj Digit. Medicine, 2021

Combat COVID-19 infodemic using explainable natural language processing models.
Inf. Process. Manag., 2021

Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach.
Int. J. Soc. Robotics, 2021

Real-Time Estimation of Drivers' Trust in Automated Driving Systems.
Int. J. Soc. Robotics, 2021

Barriers to AV Bus Acceptance: A National Survey and Research Agenda.
Int. J. Hum. Comput. Interact., 2021

From the Head or the Heart? An Experimental Design on the Impact of Explanation on Cognitive and Affective Trust.
CoRR, 2021

Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance.
CoRR, 2021

What and When to Explain? A Survey of the Impact of Explanation on Attitudes Toward Adopting Automated Vehicles.
IEEE Access, 2021

Multimodal Hybrid Pedestrian: A Hybrid Automaton Model of Urban Pedestrian Behavior for Automated Driving Applications.
IEEE Access, 2021

Handling Trust Between Drivers and Automated Vehicles for Improved Collaboration.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality.
Proceedings of the AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2021

2020
Context-Adaptive Management of Drivers' Trust in Automated Vehicles.
IEEE Robotics Autom. Lett., 2020

Takeover Transition in Autonomous Vehicles: A YouTube Study.
Int. J. Hum. Comput. Interact., 2020

Not All Information Is Equal: Effects of Disclosing Different Types of Likelihood Information on Trust, Compliance and Reliance, and Task Performance in Human-Automation Teaming.
Hum. Factors, 2020

Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability.
CoRR, 2020

Psychophysiological responses to takeover requests in conditionally automated driving.
CoRR, 2020

Enhancing autonomy transparency: an option-centric rationale approach.
CoRR, 2020

A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving.
CoRR, 2020

Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving.
CoRR, 2020

Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Comparing the Effects of False Alarms and Misses on Humans' Trust in (Semi)Autonomous Vehicles.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Expectations and Trust in Automated Vehicles.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Trust Dynamics in Human-AV (Automated Vehicle) Interaction.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Modeling Trust Dynamics in Human-robot Teaming: A Bayesian Inference Approach.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Predicting Takeover Performance in Conditionally Automated Driving.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers' Takeover Performance in Conditionally Automated Driving.
Proceedings of the AutomotiveUI '20: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2020

Design and Evaluation of a Workload-Adaptive Haptic Shared Control Framework for Semi-Autonomous Driving.
Proceedings of the 2020 American Control Conference, 2020

Efficient Behavior-aware Control of Automated Vehicles at Crosswalks using Minimal Information Pedestrian Prediction Model.
Proceedings of the 2020 American Control Conference, 2020

2019
Workload Management in Teleoperation of Unmanned Ground Vehicles: Effects of a Delay Compensation Aid on Human Operators' Workload and Teleoperation Performance.
Int. J. Hum. Comput. Interact., 2019

Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior.
Frontiers Robotics AI, 2019

An Automated Vehicle (AV) like Me? The Impact of Personality Similarities and Differences between Humans and AVs.
CoRR, 2019

Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental Workload.
CoRR, 2019

Situational Awareness, Drivers Trust in Automated Driving Systems and Secondary Task Performance.
CoRR, 2019

From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI.
Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019

2018
Robotic assistance in the coordination of patient care.
Int. J. Robotics Res., 2018

Effects of a Delay Compensation Aid on Teleoperation of Unmanned Ground Vehicles.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Trust in AV: An Uncertainty Reduction Model of AV-Pedestrian Interactions.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Explanations and Expectations: Trust Building in Automated Vehicles.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Gamified Rehabilitation for Pain Distraction in Total-Knee-Replacement Patients.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Augmenting feature model through customer preference mining by hybrid sentiment analysis.
Expert Syst. Appl., 2017

Evaluating Effects of User Experience and System Transparency on Trust in Automation.
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

2015
Effects of Information Access Cost and Accountability on Medical Residents' Information Retrieval Strategy and Performance During Prehandover Preparation: Evidence From Interview and Simulation Study.
Hum. Factors, 2015


  Loading...