Joonbum Lee
Psychology · The Ohio State University
Publications
98
Citations
1,160
Est. group size
~4
Recurring co-author estimate
Active years
16
Publishing since 2011
Joonbum Lee's research focuses on how people interact with automated and semi-automated vehicles, including trust, situational awareness, and driver behavior when sharing control with automation. His work combines human factors and cognitive engineering methods to study issues like driver overrides, mode awareness, and how vehicles should explain their behavior to drivers. Much of this research draws on naturalistic driving datasets and driving simulator studies to inform the design of driver-vehicle interfaces.
Publication output has been relatively steady over the last decade with some fluctuation, rising from a peak in 2020 (12 papers) and again in 2023 (13 papers), averaging about 7.4 publications per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Human Myobundle Platform for Studying the Role of Notch Signaling in Satellite Cell Phenotype and Function
Advanced Healthcare Materials · 2025
- Bimodality in life satisfaction: The role of social support in individuals with long COVID
Disability and health journal · 2025
- Explaining Automated Vehicle Behavior at an Appropriate Abstraction Level and Timescale to Maintain Common Ground
Journal of Cognitive Engineering and Decision Making · 2025
- From the Field to the Lab: Integrating Soccer Coach and Player Experience in Academic Mentorship
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- Understanding Driving Automation Limitations: A Taxonomy Bridging System Constraints and Observable Cues
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- Examining the Effect of Collaboration Effort, Input Method, and Age on Driver–Automation Collaboration in Unstructured Driving Environments
Transportation Research Record Journal of the Transportation Research Board · 2024
- Analyzing Human-Automation Interdependence Based on the Situational Property and Task Timescale
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2024
- Investigating Drivers’ Awareness of Automated Vehicle Modes Using the State Diagram Method
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2024
- Comparing Subjective Similarity of Automated Driving Styles to Objective Distance-Based Similarity
Human Factors The Journal of the Human Factors and Ergonomics Society · 2023
- On the relationship between occlusion times and in-car glance durations in simulated driving
Accident Analysis & Prevention · 2023
- Sharing Vehicle Situation Awareness Reduces Driver-Initiated Overrides in Urban Environments
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2023
- Towards Directive Driving Automation: Nudging Driver’s Away From Overriding Using Social Norms
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2023
- Bimodal Trust: High and Low Trust in Vehicle Automation Influence Response to Automation Errors
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2023
- Teaming with Your Car: Redefining the Driver–Automation Relationship in Highly Automated Vehicles
Journal of Cognitive Engineering and Decision Making · 2022
- Incorporating driver expectations into a taxonomy of transfers of control for automated vehicles
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2022
- Poultry Science×17
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting×13
- Frontiers in Physiology×5
- Accident Analysis & Prevention×3
- Animals×3
- Brandon J. Pitts
Psychology · Purdue University West Lafayette
- Gaojian Huang
Psychology · Purdue University West Lafayette
- Shubham Agrawal
Psychology · Purdue University West Lafayette
- Nade Liang
Psychology · Purdue University West Lafayette
- Woei-Chyi Chang
Psychology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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