Hailong Liu
Orcid: 0000-0003-2195-3380Affiliations:
- Nara Institute of Science and Technology (NAIST), Graduate School of Science and Technology, Japan
- Ritsumeikan University, Japan (PhD 2018)
According to our database1,
Hailong Liu authored at least 49 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
An Educational Human Machine Interface Providing Request-to-Intervene Trigger and Reason Explanation for Enhancing the Driver's Comprehension of ADS's System Limitations.
IEEE Trans. Hum. Mach. Syst., June, 2026
An eHMI Presenting Request-to-Intervene and Takeover Status of Level 3 Automated Vehicles to Support Surrounding Traffic Safety.
CoRR, May, 2026
Data-Driven Causal Discovery for Pedestrians-Autonomous Personal Mobility Vehicle Interactions With eHMIs: From Psychological States to Walking Behaviors.
IEEE Trans. Intell. Transp. Syst., February, 2026
Proceedings of the Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026
2025
Pre-Instruction for Pedestrians Interacting Autonomous Vehicles With eHMI: Effects on Their Psychology and Walking Behavior.
IEEE Trans. Intell. Transp. Syst., August, 2025
Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles by Presenting a Driving Path.
CoRR, June, 2025
Enhancing Hybrid Eye Typing Interfaces with Word and Letter Prediction: A Comprehensive Evaluation.
Int. J. Hum. Comput. Interact., January, 2025
Is Silent External Human-Machine Interface (eHMI) Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field.
Int. J. Hum. Comput. Interact., January, 2025
Where Do Passengers Gaze? Impact of Passengers' Personality Traits on Their Gaze Pattern Toward Pedestrians During APMV-Pedestrian Interactions with Diverse eHMIs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025
Inspiring External Human-Machine Interface Designs for Autonomous Personal Mobility Vehicle: Causal Discovering the Influence of Passengers' Personality Traits on User Experience.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
2024
Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles.
IEEE Trans. Intell. Transp. Syst., August, 2024
A Digital Human Model for Symptom Progression of Vestibular Motion Sickness based on Subjective Vertical Conflict Theory.
CoRR, 2024
Causal Discovery from Psychological States to Walking Behaviors for Pedestrians Interacting an APMV Equipped with eHMIs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
An eHMI Presenting Request-to-Intervene Status of Level 3 Automated Vehicles to Surrounding Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI Providing Request-to-Intervene Trigger and Reason Explanation.
Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
2023
Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians' Gaze Behavior with Situation Awareness and Perceived Risks.
Int. J. Hum. Comput. Interact., June, 2023
Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI for Providing Request-to-Intervene Trigger Information.
CoRR, 2023
Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field.
CoRR, 2023
Pre-instruction for Pedestrians Interacting Autonomous Vehicles with an eHMI: Effects on Their Psychology and Walking Behavior.
CoRR, 2023
Generating Visual Information for Motion Sickness Reduction Using a Computational Model Based on SVC Theory.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Cooperative Path-following Control of Remotely Operated Underwater Robots for Human Visual Inspection Task.
CoRR, 2022
HMI-based Communication Methods for Negotiation between a Manually Driven Vehicle Driver and an Autonomous Vehicle in an Ambiguous Traffic Scenario.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022
Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
2021
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention.
CoRR, 2021
Importance of Instruction for Pedestrian-Automated Driving Car Interaction with an External Human Machine Interface.
CoRR, 2021
Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust, Perceived Risks and Decision Making.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Manually Driven Vehicle Encounters with Autonomous Vehicle in Bottleneck Roads: HMI Design for Communication Issues.
Proceedings of the HAI '21: International Conference on Human-Agent Interaction, Virtual Event, Japan, November 9, 2021
2020
IEEE Trans. Veh. Technol., 2020
What Timing for an Automated Vehicle to Communicate Its Driving Intentions to Pedestrians for Improving Their Perception of Safety?
CoRR, 2020
What gaze behavior do pedestrians take in interactions when they do not understand the intention of an automated vehicle?
CoRR, 2020
Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
What Timing for an Automated Vehicle to Make Pedestrians Understand Its Driving Intentions for Improving Their Perception of Safety?
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
CoRR, 2019
Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background.
CoRR, 2019
Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the Adjunct Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019
2018
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder.
Sensors, 2018
Driving Feature Extraction and Behavior Classification Using an Autoencoder to Reproduce the Velocity Styles of Experts.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning.
IEEE Trans. Intell. Transp. Syst., 2017
Prediction of driving behavior based on sequence to sequence model with parametric bias.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
2016
IEEE Trans. Intell. Transp. Syst., 2016
Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals.
Adv. Robotics, 2016
Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder.
Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016
2015
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
2014
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Feature Extraction and Pattern Recognition for Human Motion by a Deep Sparse Autoencoder.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014