Anthony D. McDonald

24 papers Misc 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue. Hum. Factors Ran Wei, Anthony D. McDonald, Ranjana K. Mehta, Alfredo García
2025	J	`jnl`	Learning an Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following. IEEE Trans. Intell. Transp. Syst. Ran Wei, Alfredo García, Anthony D. McDonald, Gustav Markkula, Johan Engström, Matthew O'Kelly
2025	J	`jnl`	Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach. CoRR Alan Ta, Nilsu Salgin, Mustafa Demir, Kala Phillips Reindel, Ranjana K. Mehta, Anthony D. McDonald, Carly McCord, Farzan Sasangohar
2024	J	`jnl`	A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. Ran Wei, Nathan Lambert, Anthony D. McDonald, Alfredo García, Roberto Calandra
2024	J	`jnl`	Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference. Frontiers Neurorobotics Johan Engström, Ran Wei, Anthony D. McDonald, Alfredo García, Matthew O'Kelly, Leif Johnson
2023	Misc	`conf`	A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRL Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong
2023	J	`jnl`	A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRR Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong
2023	J	`jnl`	A Bayesian Regression Analysis of the Effects of Alert Presence and Scenario Criticality on Automated Vehicle Takeover Performance. Hum. Factors Hananeh Alambeigi, Anthony D. McDonald
2023	J	`jnl`	A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. CoRR Ran Wei, Nathan O. Lambert, Anthony D. McDonald, Alfredo García, Roberto Calandra
2023	J	`jnl`	An active inference model of car following: Advantages and applications. CoRR Ran Wei, Anthony D. McDonald, Alfredo García, Gustav Markkula, Johan Engström, Matthew O'Kelly
2023	J	`jnl`	Evaluating Mental Stress Among College Students Using Heart Rate and Hand Acceleration Data Collected from Wearable Sensors. CoRR Moein Razavi, Anthony D. McDonald, Ranjana K. Mehta, Farzan Sasangohar
2023	J	`jnl`	Predicting Procedure Step Performance From Operator and Text Features: A Critical First Step Toward Machine Learning-Driven Procedure Design. Hum. Factors Anthony D. McDonald, Nilesh Ade, S. Camille Peres
2023	J	`jnl`	Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference. CoRR Johan Engström, Ran Wei, Anthony D. McDonald, Alfredo García, Matthew O'Kelly, Leif Johnson
2023	J	`jnl`	Stress Detection During Motor Activity: Comparing Neurophysiological Indices in Older Adults. IEEE Trans. Affect. Comput. Rohith Karthikeyan, Anthony D. McDonald, Ranjana K. Mehta
2022	J	`jnl`	Modeling Driver Responses to Automation Failures With Active Inference. IEEE Trans. Intell. Transp. Syst. Ran Wei, Anthony D. McDonald, Alfredo García, Hananeh Alambeigi
2022	J	`jnl`	Understanding Heart Rate Reactions to Post-Traumatic Stress Disorder (PTSD) Among Veterans: A Naturalistic Study. Hum. Factors Mahnoosh Sadeghi, Farzan Sasangohar, Anthony D. McDonald, Sudeep Hegde
2022	—	`conf`	World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior. IWAI Ran Wei, Alfredo García, Anthony D. McDonald, Gustav Markkula, Johan Engström, Isaac Supeene, Matthew O'Kelly
2021	J	`jnl`	Investigating the Perceived Precision and validity of a Field-Deployable Machine Learning-based Tool to Detect Post-Traumatic Stress Disorder (PTSD) Hyperarousal Events. CoRR Mahnoosh Sadeghi, Farzan Sasangohar, Anthony D. McDonald
2021	J	`jnl`	Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data. CoRR Mahnoosh Sadeghi, Anthony D. McDonald, Farzan Sasangohar
2020	J	`jnl`	Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures. Hum. Factors Anthony D. McDonald, Thomas K. Ferris, Tyler A. Wiener
2019	J	`jnl`	Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures. Hum. Factors Anthony D. McDonald, Hananeh Alambeigi, Johan Engström, Gustav Markkula, Tobias Vogelpohl, Jarrett Dunne, Norbert Yuma
2017	J	`jnl`	Using kinematic driving data to detect sleep apnea treatment adherence. J. Intell. Transp. Syst. Anthony D. McDonald, John D. Lee, Nazan Aksan, Jeffrey D. Dawson, Jon Tippin, Matthew Rizzo
2014	J	`jnl`	Steering in a Random Forest: Ensemble Learning for Detecting Drowsiness-Related Lane Departures. Hum. Factors Anthony D. McDonald, John D. Lee, Chris Schwarz, Timothy L. Brown
2014	J	`jnl`	Text Mining to Decipher Free-Response Consumer Complaints: Insights From the NHTSA Vehicle Owner's Complaint Database. Hum. Factors Mahtab Ghazizadeh, Anthony D. McDonald, John D. Lee