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The Influence of Visual-Manual Distractions on Anticipatory Driving

Human factors, 2022-03, Vol.64 (2), p.401-417

2022

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Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction

Human factors, 2023-06, Vol.65 (4), p.663-663

2023

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Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies

Frontiers in psychology, 2023-08, Vol.14, p.1236062-1236062

2023

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Distracted when Using Driving Automation: A Quantile Regression Analysis of Driver Glances Considering the Effects of Road Alignment and Driving Experience

Frontiers in future transportation, 2022-05, Vol.3

2022

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Influence of Driving Experience on Distraction Engagement in Automated Vehicles

Transportation research record, 2019-09, Vol.2673 (9), p.142-151

2019

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Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning

IEEE transactions on intelligent transportation systems, 2023-12, Vol.24 (12), p.13903-13915

2023

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Exploration of Social-Psychological Factors Leading to Distracted e-Bike Riding Among Delivery Workers in China

Transportation research record, 2024-05, Vol.2678 (5), p.127-137

2024

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Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes and Advanced Driving Assistance System-Involved Crashes

Transportation research record, 2024-07, Vol.2678 (7), p.771-782

2024

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Using Sensitivity and Bias in Signal Detection Theory to Predict Proportion Correctness: Simulation and Case Study on ADAS Mental Model Evaluation

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2023-09, Vol.67 (1), p.672-677

2023

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Inducers of motion sickness in vehicles: A systematic review of experimental evidence and meta-analysis

Transportation research. Part F, Traffic psychology and behaviour, 2023-11, Vol.99, p.167-188

2023

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Study on Vehicle Stability Control by Using Model Predictive Controller and Tire-road Force Robust Optimal Allocation

SAE International journal of commercial vehicles, 2015-04, Vol.8 (1), p.126-136, Article 2015-01-1580

2015

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Rethink data-driven human behavior prediction: A Psychology-powered Explainable Neural Network

Computers in human behavior, 2024-07, Vol.156, p.108245, Article 108245

2024

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Trust in Range Estimation System in Battery Electric Vehicles-A Mixed Approach

IEEE transactions on human-machine systems, 2024-06, Vol.54 (3), p.250-259

2024

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High Cognitive Load Assessment in Drivers Through Wireless Electroencephalography and the Validation of a Modified N-Back Task

IEEE transactions on human-machine systems, 2019-08, Vol.49 (4), p.362-371

2019

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ConDiff-rPPG: Robust Remote Physiological Measurement to Heterogeneous Occlusions

IEEE journal of biomedical and health informatics, 2024-07, Vol.PP, p.1-13

2024

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Preciser comparison: Augmented multi-layer dynamic contrastive strategy for text2text question classification

Neurocomputing (Amsterdam), 2023-08, Vol.544, p.126299, Article 126299

2023

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Hierarchical Style-Aware Domain Generalization for Remote Physiological Measurement

IEEE journal of biomedical and health informatics, 2024-03, Vol.28 (3), p.1635-1643

2024

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When Do Users Prefer Voice Control Systems in Vehicles? A Survey of Chinese Drivers

Transportation research record, 2024-04

2024

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Multi-Aspect co-Attentional Collaborative Filtering for extreme multi-label text classification

Knowledge-based systems, 2023-01, Vol.260, p.110110, Article 110110

2023

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The association between physiological and eye-tracking metrics and cognitive load in drivers: A meta-analysis

Transportation research. Part F, Traffic psychology and behaviour, 2024-07, Vol.104, p.474-487

2024

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When Young Scholars Cooperate with LLMs in Academic Tasks: The Influence of Individual Differences and Task Complexities

International journal of human-computer interaction, 2024-05, p.1-16

2024

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Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures

Transportation research record, 2022-10, Vol.2676 (10), p.670-681

2022

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A Leading Cruise Controller for Autonomous Vehicles in Mixed Autonomy Based on Preference-Based Reinforcement Learning

2024 IEEE Intelligent Vehicles Symposium (IV), 2024, p.752-757

2024

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In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles

Accident analysis and prevention, 2021-01, Vol.149, p.105842-105842, Article 105842

2021

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Assessing Drivers’ Mental Model Of Advanced Driver Assistance Systems Using Signal Detection Theory

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2023-09, Vol.67 (1), p.1204-1211

2023

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The Influence of Visual-Manual Distractions on Anticipatory Driving

Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction

Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies

Distracted when Using Driving Automation: A Quantile Regression Analysis of Driver Glances Considering the Effects of Road Alignment and Driving Experience

Influence of Driving Experience on Distraction Engagement in Automated Vehicles

Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning

Exploration of Social-Psychological Factors Leading to Distracted e-Bike Riding Among Delivery Workers in China

Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes and Advanced Driving Assistance System-Involved Crashes

Using Sensitivity and Bias in Signal Detection Theory to Predict Proportion Correctness: Simulation and Case Study on ADAS Mental Model Evaluation

Inducers of motion sickness in vehicles: A systematic review of experimental evidence and meta-analysis

Study on Vehicle Stability Control by Using Model Predictive Controller and Tire-road Force Robust Optimal Allocation

Rethink data-driven human behavior prediction: A Psychology-powered Explainable Neural Network

Trust in Range Estimation System in Battery Electric Vehicles-A Mixed Approach

High Cognitive Load Assessment in Drivers Through Wireless Electroencephalography and the Validation of a Modified N-Back Task

ConDiff-rPPG: Robust Remote Physiological Measurement to Heterogeneous Occlusions

Preciser comparison: Augmented multi-layer dynamic contrastive strategy for text2text question classification

Hierarchical Style-Aware Domain Generalization for Remote Physiological Measurement

When Do Users Prefer Voice Control Systems in Vehicles? A Survey of Chinese Drivers

Multi-Aspect co-Attentional Collaborative Filtering for extreme multi-label text classification

The association between physiological and eye-tracking metrics and cognitive load in drivers: A meta-analysis

When Young Scholars Cooperate with LLMs in Academic Tasks: The Influence of Individual Differences and Task Complexities

Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures

A Leading Cruise Controller for Autonomous Vehicles in Mixed Autonomy Based on Preference-Based Reinforcement Learning

In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles

Assessing Drivers’ Mental Model Of Advanced Driver Assistance Systems Using Signal Detection Theory

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