Making mental models manifest. - John D. Lee; Neville Moray (SMC, 1989)

Experiments on a lattice theory of operator mental models. - John D. Lee; Neville Moray (SMC, 1989)

Trust, self-confidence, and operators' adaptation to automation. - John D. Lee; Neville Moray (Int. J. Hum. Comput. Stud., 1994)

Evaluation of a Rankine Cycle Display for Nuclear Power Plant Monitoring and Diagnosis. - Kim J. Vicente; Neville Moray; John D. Lee; Jens Rasmussen; Barclay G. Jones; Richard Brock; Toufik Djemil (Hum. Factors, 1996)

Augmenting the operator function model with cognitive operations: assessing the cognitive demands of technological innovation in ship navigation. - John D. Lee; Thomas F. Sanquist (IEEE Trans. Syst. Man Cybern. Part A, 2000)

Human Performance Models and Rear-End Collision Avoidance Algorithms. - Timothy L. Brown; John D. Lee; Daniel V. McGehee (Hum. Factors, 2001)

Speech-Based Interaction with In-Vehicle Computers: The Effect of Speech-Based E-Mail on Drivers' Attention to the Roadway. - John D. Lee; Brent Caven; Steven Haake; Timothy L. Brown (Hum. Factors, 2001)

Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator. - John D. Lee; Daniel V. McGehee; Timothy L. Brown; Michelle L. Reyes (Hum. Factors, 2002)

Can scientific impact be judged prospectively? A bibliometric test of Simonton"s model of creative productivity. - John D. Lee; Kim J. Vicente; Andrea Cassano; Anna Shearer (Scientometrics, 2003)

Collision warning design to mitigate driver distraction. - John D. Lee; Joshua D. Hoffman; Elizabeth Hayes (CHI, 2004)

Enhancing interaction with the driving ecology through haptic interfaces. - René van Paassen; John D. Lee; Heather Stoner; Dawn C. Marshall (SMC (1), 2004)

Trust in Automation: Designing for Appropriate Reliance. - John D. Lee; Katrina A. See (Hum. Factors, 2004)

Preface to the Special Section on Driver Distraction. - John D. Lee; David L. Strayer (Hum. Factors, 2004)

Bibliometric Analysis of Human Factors (1970-2000): A Quantitative Description of Scientific Impact. - John D. Lee; Andrea Cassano-Pinché; Kim J. Vicente (Hum. Factors, 2005)

Medical Safety and Neuroergonomics. - Matthew Rizzo; Sean McEvoy; John D. Lee (Neuroergonomics, 2006)

Real HCI: what it takes to do HCI engineering for disasters, driving, disruption, and distributed work. - Stuart K. Card; Robin R. Murphy; John D. Lee; Judy Olson; William Newman (CHI Extended Abstracts, 2006)

The Impact of Distraction Mitigation Strategies on Driving Performance. - Birsen Donmez; Linda Ng Boyle; John D. Lee (Hum. Factors, 2006)

Extending the decision field theory to model operators' reliance on automation in supervisory control situations. - Ji Gao; John D. Lee (IEEE Trans. Syst. Man Cybern. Part A, 2006)

Operator Performance and Intelligent Aiding in Unmanned Aerial Vehicle Scheduling. - Mary L. Cummings; Amy S. Brzezinski; John D. Lee (IEEE Intell. Syst., 2007)

Visual Attention in Driving: The Effects of Cognitive Load and Visual Disruption. - Yi-Ching Lee; John D. Lee; Linda Ng Boyle (Hum. Factors, 2007)

Alerts for In-Vehicle Information Systems: Annoyance, Urgency, and Appropriateness. - Dawn C. Marshall; John D. Lee; P. Albert Austria (Hum. Factors, 2007)

Making adaptive cruise control (ACC) limits visible. - Bobbie D. Seppelt; John D. Lee (Int. J. Hum. Comput. Stud., 2007)

Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines. - Yulan Liang; Michelle L. Reyes; John D. Lee (IEEE Trans. Intell. Transp. Syst., 2007)

Review of a Pivotal Human Factors Article: "Humans and Automation: Use, Misuse, Disuse, Abuse". - John D. Lee (Hum. Factors, 2008)

Fifty Years of Driving Safety Research. - John D. Lee (Hum. Factors, 2008)

A Dynamic Programming Algorithm for Scheduling In-Vehicle Messages. - Hansuk Sohn; John D. Lee; Dennis L. Bricker; Joshua D. Hoffman (IEEE Trans. Intell. Transp. Syst., 2008)

The Dynamics of Trust in Cyberdomains. - Robert R. Hoffman; John D. Lee; David D. Woods; Nigel Shadbolt; Janet Miller; Jeffrey M. Bradshaw (IEEE Intell. Syst., 2009)

The Interaction of Cognitive Load and Attention-Directing Cues in Driving. - Yi-Ching Lee; John D. Lee; Linda Ng Boyle (Hum. Factors, 2009)

Human Factors in Automation Design. - John D. Lee; Bobbie D. Seppelt (Handbook of Automation, 2009)

Evaluating the distraction potential of connected vehicles. - Joonbum Lee; John D. Lee; Dario D. Salvucci (AutomotiveUI, 2012)

Extending the Technology Acceptance Model to assess automation. - Mahtab Ghazizadeh; John D. Lee; Linda Ng Boyle (Cogn. Technol. Work., 2012)

Scrolling and Driving: How an MP3 Player and Its Aftermarket Controller Affect Driving Performance and Visual Behavior. - John D. Lee; Shannon C. Roberts; Joshua D. Hoffman; Linda S. Angell (Hum. Factors, 2012)

How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving. - Yulan Liang; John D. Lee; Lora Yekhshatyan (Hum. Factors, 2012)

Preface to the Special Section on Human Factors and Automation in Vehicles: Designing Highly Automated Vehicles With the Driver in Mind. - Natasha Merat; John D. Lee (Hum. Factors, 2012)

Warn me now or inform me later: Drivers' acceptance of real-time and post-drive distraction mitigation systems. - Shannon C. Roberts; Mahtab Ghazizadeh; John D. Lee (Int. J. Hum. Comput. Stud., 2012)

Differentiating Alcohol-Induced Driving Behavior Using Steering Wheel Signals. - Devashish Das; Shiyu Zhou; John D. Lee (IEEE Trans. Intell. Transp. Syst., 2012)

Augmented Reality Cues and Elderly Driver Hazard Perception. - Mark C. Schall Jr.; Michelle L. Rusch; John D. Lee; Jeffrey D. Dawson; Geb Thomas; Nazan Aksan; Matthew Rizzo (Hum. Factors, 2013)

Changes in the Correlation Between Eye and Steering Movements Indicate Driver Distraction. - Lora Yekhshatyan; John D. Lee (IEEE Trans. Intell. Transp. Syst., 2013)

Text Mining to Decipher Free-Response Consumer Complaints: Insights From the NHTSA Vehicle Owner's Complaint Database. - Mahtab Ghazizadeh; Anthony D. McDonald; John D. Lee (Hum. Factors, 2014)

Steering in a Random Forest: Ensemble Learning for Detecting Drowsiness-Related Lane Departures. - Anthony D. McDonald; John D. Lee; Chris Schwarz 001; Timothy L. Brown (Hum. Factors, 2014)

Secondary task boundaries influence drivers' glance durations. - Ja Young Lee; Madeleine Gibson; John D. Lee (AutomotiveUI, 2015)

Head tracking using video analytics. - Xiao Wang; Yu Hen Hu; Robert G. Radwin; John D. Lee (GlobalSIP, 2015)

Is Talking to Your Car Dangerous? It Depends: Prologue to the Special Section. - John D. Lee; Linda Ng Boyle (Hum. Factors, 2015)

Error Recovery in Multitasking While Driving. - Ja Young Lee; Madeleine C. Gibson; John D. Lee (CHI, 2016)

Cooperation in Human-Agent Systems to Support Resilience: A Microworld Experiment. - Erin K. Chiou; John D. Lee (Hum. Factors, 2016)

Driver Movement Patterns Indicate Distraction and Engagement. - Robert G. Radwin; John D. Lee; Oguz Akkas (Hum. Factors, 2017)

Using kinematic driving data to detect sleep apnea treatment adherence. - Anthony D. McDonald; John D. Lee; Nazan Aksan; Jeffrey D. Dawson; Jon Tippin; Matthew Rizzo (J. Intell. Transp. Syst., 2017)

Assessing Route Choice to Mitigate Older Driver Risk. - Rashmi P. Payyanadan; Fabrizzio A. Sanchez; John D. Lee (IEEE Trans. Intell. Transp. Syst., 2017)

Frame-Subsampled, Drift-Resilient Video Object Tracking. - Xuan Wang 022; Yuhen Hu; Robert G. Radwin; John D. Lee (ICASSP, 2018)

Frame-Sub Sampled, Drift-Resilient Long-Term Video Object Tracking. - Xuan Wang 022; Yuhen Hu; Robert G. Radwin; John D. Lee (ICME, 2018)

Negotiated and reciprocal exchange structures in human-agent cooperation. - Erin K. Chiou; John D. Lee; Tianshuo Su (Comput. Hum. Behav., 2019)

The "Out-of-the-Loop" concept in automated driving: proposed definition, measures and implications. - Natasha Merat; Bobbie Seppelt; Tyron Louw; Johan Engström; John D. Lee; Emma Johansson; Charles A. Green; Satoshi Katazaki; Chris Monk; Makoto Itoh; Daniel V. McGehee; Takashi Sunda; et al. (Cogn. Technol. Work., 2019)

Modeling microstructure of drivers' task switching behavior. - Ja Young Lee; John D. Lee (Int. J. Hum. Comput. Stud., 2019)

Keeping the driver in the loop: Dynamic feedback to support appropriate use of imperfect vehicle control automation. - Bobbie D. Seppelt; John D. Lee (Int. J. Hum. Comput. Stud., 2019)

Influence of Familiarity on the Driving Behavior, Route Risk, and Route Choice of Older Drivers. - Rashmi P. Payyanadan; Fabrizzio A. Sanchez; John D. Lee (IEEE Trans. Hum. Mach. Syst., 2019)

Vehicle Automation-Other Road User Communication and Coordination: Theory and Mechanisms. - Joshua E. Domeyer; John D. Lee; Heishiro Toyoda (IEEE Access, 2020)

Towards a Conversational Measure of Trust. - Mengyao Li; Areen Alsaid; Sofia I. Noejovich; Ernest V. Cross; John D. Lee (CoRR, 2020)

Moving Into the Loop: An Investigation of Drivers' Steering Behavior in Highly Automated Vehicles. - Areen Alsaid; John D. Lee; Morgan Price (Hum. Factors, 2020)

Preface to the Special Issue on Human Factors and Advanced Vehicle Automation: Of Benefits, Barriers, and Bridges to Safe and Effective Implementation. - William J. Horrey; John D. Lee (Hum. Factors, 2020)

Exploring Trust in Self-Driving Vehicles Through Text Analysis. - John D. Lee; Kristin Kolodge (Hum. Factors, 2020)

Temporal Frame Sub-Sampling for Video Object Tracking. - Xuan Wang 022; Yu Hen Hu; Robert G. Radwin; John D. Lee (J. Signal Process. Syst., 2020)

Designing for the Extremes: Modeling Drivers' Response Time to Take Back Control From Automation Using Bayesian Quantile Regression. - Azadeh DinparastDjadid; John D. Lee; Joshua E. Domeyer; Chris Schwarz 001; Timothy L. Brown; Pujitha Gunaratne (Hum. Factors, 2021)

Assessing Drivers' Trust of Automated Vehicle Driving Styles With a Two-Part Mixed Model of Intervention Tendency and Magnitude. - John D. Lee; Shu-Yuan Liu; Joshua E. Domeyer; Azadeh DinparastDjadid (Hum. Factors, 2021)

"I need to respond to this" - Contributions to group creativity in remote meetings with distractions. - Alberta A. Ansah; Yilun Xing; Amudha Varshini Kamaraj; Diana Tosca; Linda Ng Boyle; Shamsi T. Iqbal; Andrew L. Kun; John D. Lee; Michel Pahud; Orit Shaer (CHIWORK, 2022)

Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation. - Joshua E. Domeyer; John D. Lee; Heishiro Toyoda; Bruce Mehler; Bryan Reimer (IEEE Trans. Hum. Mach. Syst., 2022)

Interdependence in Vehicle-Pedestrian Encounters and its Implications for Vehicle Automation. - Joshua E. Domeyer; John D. Lee; Heishiro Toyoda; Bruce Mehler; Bryan Reimer (IEEE Trans. Intell. Transp. Syst., 2022)

You Cooperate, I Reciprocate: Well-Being and Trust in Automated Vehicles. - Mengyao Li; Shashank Mehrotra; Kumar Akash; Teruhisa Misu; John D. Lee (ITSC, 2023)

A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis. - John D. Lee; Jakob Richter; Martin R. Pfaller; Jason M. Szafron; Karthik Menon; Andrea Zanoni; Michael R. Ma; Jeffrey A. Feinstein; Jacqueline Kreutzer; Alison L. Marsden; Daniele E. Schiavazzi (CoRR, 2023)

Virtual nature experiences and mindfulness practices while working from home during COVID-19: Effects on stress, focus, and creativity. - Nabil Al Nahin Ch; Alberta A. Ansah; Atefeh Katrahmani; Julia Burmeister; Andrew L. Kun; Caitlin Mills 001; Orit Shaer; John D. Lee (Int. J. Hum. Comput. Stud., 2023)

Trusting Automation: Designing for Responsivity and Resilience. - Erin K. Chiou; John D. Lee (Hum. Factors, 2023)

The Effect of Vehicle Automation Styles on Drivers' Emotional State. - Areen Alsaid; John D. Lee; Sofia I. Noejovich; Abdallah A. Chehade (IEEE Trans. Intell. Transp. Syst., 2023)

Attribution Errors by People and Intelligent Machines. - Peter A. Hancock; John D. Lee; John W. Senders (Hum. Factors, 2023)

Prosociality Matters: How Does Prosocial Behavior in Interdependent Situations Influence the Well-being and Cognition of Road Users? - Sooyeon Kim; Shashank Mehrotra; Kumar Akash; Teruhisa Misu; John D. Lee (AutomotiveUI, 2024)

Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention. - Xinzhi Zhong; Yang Zhou; Varshini Kamaraj; Zhenhao Zhou; Wissam Kontar; Dan Negrut; John D. Lee; Soyoung Ahn (CoRR, 2024)

Comparing Subjective Similarity of Automated Driving Styles to Objective Distance-Based Similarity. - Amudha Varshini Kamaraj; Joonbum Lee; Joshua E. Domeyer; Shu-Yuan Liu; John D. Lee (Hum. Factors, 2024)

It's Not Only What You Say, But Also How You Say It: Machine Learning Approach to Estimate Trust from Conversation. - Mengyao Li; Isabel M. Erickson; Ernest V. Cross; John D. Lee (Hum. Factors, 2024)

Modeling Trust Dimensions and Dynamics in Human-Agent Conversation: A Trajectory Epistemic Network Analysis Approach. - Mengyao Li; Amudha Varshini Kamaraj; John D. Lee (Int. J. Hum. Comput. Interact., 2024)

Being good (at driving): Characterizing behavioral expectations on automated and human driven vehicles. - Laura Fraade-Blanar; Francesca M. Favarò; Johan Engström; Melissa Cefkin; Ryan Best; John D. Lee; Trent Victor (CoRR, 2025)

Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach. - Jiwan Jiang; Yang Zhou 019; Ghazaleh Jafarsalehi; Xin Wang 161; Soyoung Ahn; John D. Lee (IEEE Trans. Intell. Transp. Syst., 2025)