Jonny Kuo
Orcid: 0009-0001-6422-4623
According to our database1,
Jonny Kuo
authored at least 20 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving.
CoRR, October, 2025
Leveraging LLM-based Conversational Agents to Combat Passive Fatigue in Conditional Automated Driving Contexts.
Proceedings of the Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025
Designing With Motion: Exploring Vestibular Cues as a Subtle Awareness Nudge Modality in Automated Vehicles.
Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025
Self-supervised Learning for Detecting Local Contextual Anomalous Gaze Patterns of Individual Drivers in Level 3 Automated Driving.
Proceedings of the Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025
Measuring Driver Electrodermal Activity when Exposed to HMIs Conveying Uncertainty in Conditional Automated Driving.
Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025
It Matters Who Is Behind The Wheel: Driver Monitoring Feature Analysis Using Explainable AI.
Proceedings of the Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025
What makes a ready driver? A deep dive into the measurement and validation of readiness estimation for driver monitoring systems of partially automated (SAE level 2) vehicles.
Proceedings of the Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025
2024
Using driver monitoring to estimate readiness in automation: a conceptual model based on simulator experimental data.
Cogn. Technol. Work., November, 2024
European NCAP Driver State Monitoring Protocols: Prevalence of Distraction in Naturalistic Driving.
Hum. Factors, 2024
Using gaze to understand shifts in visual attention during conditional automation with non-driving related tasks.
Proceedings of the 36th Australasian Conference on Human-Computer Interaction, OzCHI 2024, Meanjin, Brisbane, Australia, 30 November 2024, 2024
An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Get Ready for Take-Overs: Using Head-Up Display for Drivers to Engage in Non-Driving-Related Tasks in Automated Vehicles.
Hum. Factors, December, 2023
Is Users' Trust during Automated Driving Different When Using an Ambient Light HMI, Compared to an Auditory HMI?
Inf., May, 2023
2022
Human-Centered Design for an In-Vehicle Truck Driver Fatigue and Distraction Warning System.
IEEE Trans. Intell. Transp. Syst., 2022
Evaluating Driver Features for Cognitive Distraction Detection and Validation in Manual and Level 2 Automated Driving.
Hum. Factors, 2022
2021
The Impacts of Temporal Variation and Individual Differences in Driver Cognitive Workload on ECG-Based Detection.
Hum. Factors, 2021
Effects of Distraction in On-Road Level 2 Automated Driving: Impacts on Glance Behavior and Takeover Performance.
Hum. Factors, 2021
2020
Spectral Analysis of EEG During Microsleep Events Annotated via Driver Monitoring System to Characterize Drowsiness.
IEEE Trans. Aerosp. Electron. Syst., 2020
2016
Driver Distraction: Behavioural Markers for Performance Impairment in Naturalistic Driving.
PhD thesis, 2016
Modeling Driving Performance Using In-Vehicle Speech Data From a Naturalistic Driving Study.
Hum. Factors, 2016