Human Factors and Machine Learning Lab
Department of Industrial and Systems Engineering, University of Wisconsin-Madison

Publications

Links to our most recent work

HFML Lab Google Scholar page

HFML Lab Research Gate Profile

Journal Articles

J35. Engstrom, J., Wei, R., McDonald, A.D., Garcia, A., O’Kelly, M., Johnson, L. (2024).
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference.
Frontiers on neurorobotics.

J34. Wei. R., Lambert, N., McDonald, A.D., Calandra, R., Garcia, A. (2024). A Unified View on
Solving Objective Mismatch in Model-Based Reinforcement Learning. Transactions on Machine
Learning Research.

J33. Park, J., Zahabi, M., Zheng, X., Ory, M., Benden, M., McDonald, A.D., Li, W. (2024).
Automated Vehicles for Older Adults with Cognitive Impairment: A Survey Study. Ergonomics.
10.1080/00140139.2024.2302020.

J32. Mukherjee, S., McDonald, A.D., Kesler, S., Cuevas, H., Swank, C., Stevens, A.B., Ferris,
T.K., Danesh, V. (2024). Driving measures among individuals with chronic conditions: A
systematic review of applied research using kinematic driving sensors. Journal of the American
Geriatrics Society (JAGS). 10.1111/jgs.18738.

J31. Donmez, B., McDonald, A.D., Boyle, L., Lee, J.D. (2023). Road User Behavior: Describing,
Inferring, Predicting and Beyond. Transportation Research Interdisciplinary Perspectives.
10.1016/j.trip.2023.100932.

J30. Danesh, V., McDonald, A.D., McPeake, J., Eaton, T.L., Potter, K., Su, H., Jackson, J.C.
(2023). Driving decisions after critical illness: Qualitative analysis of patient-provider reviews
during ICU recovery clinic assessments. International Journal of Nursing Studies.
10.1016/j.ijnurstu.2023.104560

J29. Alambeigi, H. , McDonald, A.D., Manser, M., Shipp, E., Lenneman, J., Pulver, E.,
Christensen, S. (2022). Predicting Driver Errors During Automated Vehicle Takeovers.
Transportation Research Record. 10.1177/03611981231159122.

J28. Potter, K.M., Danesh, V., Butcher, B., Eaton, T., McDonald, A.D., Girard, T.D.(2022).
Return to driving after critical illness: Characteristics of survivors who resumed driving within
one month of hospital discharge. JAMA Internal Medicine. 10.1001/jamainternmed.2022.7096

J27. McDonald, A.D., Danesh, V., Ray, F.J., Stevens, A.B. (2022). An epidemiologic study of
missing adults with dementia: Implications from the Silver Alert reporting system in Texas,
2017-2022. JAMA Network Open. 10.1001/jamanetworkopen.2022.55830

J26. Goddard, T., McDonald, A.D., Wei, R., and Batra, D. (2022). Advanced Driver Assistance Systems in Top-Selling Vehicles in the US, Japan, and Europe: Cost, Vehicle Type, and Trim Level Disparities. Transport Findings. Accepted.

J25. Zahed, K. , Smith, A., McDonald, A.D., and Sasangohar, F. (2022). The Effects of Drowsiness Detection Technology and Education on Nurses’ Beliefs and Attitudes Towards Drowsy Driving.IISE Transactions on Occupational Ergonomics and Human Factors. 10.1080/24725838.2022.2094502

J24. Sadeghi, M., McDonald, A.D., and Sasangohar, F., (2022). Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Sensor based Physiological Data. PLOS ONE. 10.1371/journal.pone.0267749.

J23. Wei, R., McDonald, A.D., Garcia, A. and Alambeigi, H. (2022). Modeling driver responses to automation failures with active inference. IEEE Transactions on Intelligent Transportation Systems. 10.1109/TITS.2022.3155381.

J22. Karthikeyan, R., McDonald, A.D., and Mehta, R.K. (2022). Stress Detection during Motor Activity: A Comparison of Neural and Physiological Biomarkers in Older Adults. IEEE Transactions on Affective Computing. 10.1109/TAFFC.2022.3148234.

J21. Kim, A.J., Alambeigi, H., Goddard, T., McDonald, A.D., and Anderson, B.A. (2021). Do threat-related attentional biases toward bicyclists promote or hinder safer driving? Cognitive Research: Principles and Implications 6 (1).

J20. Sadeghi, M., Sasangohar, F., McDonald, A.D., and Hedge, S. (2021). Understanding heart rate reactions to Post-Traumatic Stress Disorder (PTSD) among veterans: A naturalistic study. Human Factors: The Journal of the Human Factors and Ergonomics Society. 10.1177/00187208211034024.

J19. Smith, A., McDonald, A.D., and Sasangohar, F. (2021). The impact of commutes, work schedules, and sleep on near-crashes during nurses’ post shift-work commutes: A naturalistic driving study. IISE Transactions on Occupational Ergonomics and Human Factors . 10.1080/24725838.2021.1945708.

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J18. Alambeigi, H. and McDonald, A.D. (2021). A Bayesian regression analysis of the effects of alert presence and scenario criticality on automated vehicle takeover performance. Human Factors: The Journal of the Human Factors and Ergonomics Society. 10.1177/00187208211010004.

J17. Sarkar, A., Hickman, J.S., McDonald, A.D., Huang, W., Vogelpohl, T., and Markkula, G. (2021). Steering or braking avoidance response in SHRP2 rear-end crashes and near-crashes: A decision tree approach. Accident Analysis and Prevention. 154. 10.1016/j.aap.2021.106055

J16. Geiger-Brown, J. and McDonald, A.D. (2021). Mitigating drowsy driving risk for night shift nurses, there is a solution. American Journal of Nursing. 121 (10).

J15. McDonald, A. D., Ade, N., and Peres, S. C. (2020). Predicting procedure step performance from operator and text features: A critical first step toward machine learning-driven procedure design. Human Factors: The Journal of the Human Factors and Ergonomics Society. 10.1177/0018720820958588

J14. Goddard, T., McDonald, A.D., Alambeigi, H., Kim, A.J. and Anderson, B.A. (2020). Drivers’ attitudes and unsafe behavior toward bicyclists: Linking driving simulation with implicit bias and survey data. Accident Analysis and Prevention. 144. 10.1016/j.aap.2020.105595.

J13. Sadeghi, M., McDonald, A.D., and Sasangohar, F. (2020). Towards a taxonomy for analyzing heart rate as a physiological indicator of Post-Traumatic Stress Disorder (PTSD). Journal of Medical Internet Research: Mental Health. 7(7).

J12. Smith, A., Sasangohar, F., and McDonald, A.D. (2020). Night-shift nurses and drowsy driving: a qualitative study. International Journal of Nursing Studies. 10.1016/j.ijnurstu.2020.103600. [Top 5 journal in General Nursing]

J11. Zhu, Y., Jayagopal, J.K., Mehta, R.K., Erraguntla, M., Nuamah, J., McDonald, A.D., Taylor, H., and Chang, S. (2020). Classifying major depressive disorder using fNIRS during motor rehabilitation. IEEE Transactions on Neural Systems & Rehabilitation Engineering. 28(4).

J10. Zahabi, M., Park, J., Razak, A.M.A., and McDonald, A.D. (2019). Adaptive driving simulation-based training: Overview, framework, and future directions. Theoretical issues in Ergonomics Science. 21 (5), 537-561.

J9. McDonald, A.D., Ferris, T.K., and Wiener, T.A. (2019). Classification of driver distraction: A comprehensive analysis of feature generation, machine learning, and input measures. Human Factors: The Journal of the Human Factors and Ergonomics Society. 62(6).

J8. McDonald, A.D., Sasangohar, F., Jatav, A., and Rao, A. (2019). Continuous Monitoring and Detection of Post-Traumatic Stress Disorder (PTSD) Triggers Among Veterans: A Supervised Machine Learning Approach. IISE Transactions on Health Systems Engineering, 9(3).

J7. McDonald, A.D., Alambeigi, H., Engstr ̈om, J., Markkula, G., Vogelpohl, T., Dunne, J., and Yuma, N. (2019). Towards computational simulations of behavior during automated driving take-overs: A review of the empirical and modeling literatures. Human Factors: The Journal of the Human Factors and Ergonomics Society, 61(4).

J6. McLaurin, E.J., Lee, J.D., McDonald, A.D., Aksan, N.S., Dawson, J.D., Tippin, J., and Rizzo, M. (2018). Using probabilistic topic modeling to capture the heterogeneous nature of naturalistic driving data. Transportation Research Part F: Traffic Psychology and Behaviour. 58, 25-38.

J5. McDonald, A.D., Lee, J. D., Schwarz, C., and Brown, T. L. (2018). A contextual and temporal algorithm for driver drowsiness detection. Accident Analysis and Prevention, 113(C), 25–37.

J4. McDonald, A.D., Lee, J.D., Aksan, N.S., Dawson, J.D., Tippin, J., and Rizzo, M. (2017). Using kinematic driving data to detect sleep apnea treatment adherence. Journal of Intelligent Transportation Systems, 21(5), 422-434.

Conference Proceedings and Posters

  1. C1.  Wei, R., Garcia, A., McDonald, A.D., Markkula, G., Engstrom, J., Supeene, I., and O’Kelly, M. (2022). World model learning from demonstrations with active inference: application to driving behavior. To be presented at the 3rd International Workshop on Active Inference, Grenoble, France, September 2022.
  2. C2.  Hopko, S., Mehta, R.K., and McDonald, A.D. (2021). Trust in Automation: Comparison of Automobile, Robot, Medical, and Cyber Aid Technologies. Presented at the Human Factors and Ergonomics Society’s 2021 International Annual Meeting, Baltimore, MD, October 2021.
  3. C3.  Sarkar, A., Alambeigi, H., McDonald, A.D., Markkula, G., and Hickman, J. (2021). Role of Peripheral Vision in Brake Reaction Time During Safety Critical Events. Presented at the Human Factors and Ergonomics Society’s 2021 International Annual Meeting, Baltimore, MD, October 2021.
  4. C4.  Alambeigi, H., Wei, R., Smith, and McDonald, A.D. (2021). A Novel Approach to Social Media Guideline Design and Its Application to Automated Vehicle Events. Presented at the Human Factors and Ergonomics Society’s 2021 International Annual Meeting, Baltimore, MD, October 2021.
  5. C5.  Sadeghi, M., Sasangohar, F., and McDonald, A.D. (2021). Investigating Heart Rate Patterns During Hyperarousal Events Among Veterans Who Have Posttraumatic Stress Disorder (PTSD). Presented at the HFES 2021 International Symposium on Human Factors and Ergonomics in Health Care, Virtual, April 2021.
  6. C6.  Kim, A. J., Alambeigi, H., Goddard, T., McDonald, A. D., & Anderson, B. A. (2021). Linking threat-related attentional biases toward bicyclists to driving behavior. Poster presented at Virtual-Visual Sciences Society Annual Meeting. Virtual, May 2021.
  7. C7.  Wei, R., McDonald, A. D., & Garcia, A. (2020). Modeling Mental Fatigue In Human Control Tasks. INFORMS 2020 Annual Meeting.Virtual, November 2020.
  8. C8.  Zahed, K., Smith, A., Sasangohar, F., and McDonald, A.D. (2020). Investigating the effect of education and drowsiness detection on nurses’ beliefs and attitudes towards drowsy driving. Presented at the Human Factors and Ergonomics Society’s 2020 International Annual Meeting, Virtual, October 2020.
  9. C9.  Wei, R., Alambeigi, H., McDonald, A.D. (2020). Topic modeling social media data after fatal automated vehicle crashes. Presented at the Human Factors and Ergonomics Society’s 2020 International Annual Meeting, Virtual, October 2020.

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  1. C10.  Smith, A., Sasangohar, F., Lazaro, L., Sosa, L., Okuro, C., and McDonald, A.D. (2020). Preventing drowsy driving crashes among night shift nurses: An evaluation of educational and technological interventions. Presented at the Human Factors and Ergonomics Society’s 2020 International Annual Meeting, Virtual, October 2020.
  2. C11.  Sadeghi, M., Sasangohar, F., and McDonald, A.D. (2020). Understanding Heart Rate Reactions to Post Traumatic Stress Disorder (PTSD) Among Veterans. Presented at the Human Factors and Ergonomics Society’s 2020 International Annual Meeting, Virtual, October 2020.
  3. C12.  Alambeigi, H., McDonald, A.D. (2020). Modeling post-takeover avoidance and stabilization steering control in automated vehicles. Presented at the Human Factors and Ergonomics Society’s 2020 International Annual Meeting, Virtual, October 2020.
  4. C13.  Alambeigi, H., McDonald, A.D., and Tankasala, R. (2020). Crash themes in automated vehicles: A topic modeling analysis of the California Department of Motor Vehicles Automated Vehicle Crash Database. Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C. January, 2020.
  5. C14.  Smith, A., Sasangohar, F., and McDonald, A.D. (2019). Mitigating Drowsy Driving in Night Shift Nurses Using a Technological Device. Presented at the Human Factors and Ergonomics Society’s 2019 International Annual Meeting, Seattle, WA, October 2019.
  6. C15.  Sadeghi, M., Sasangohar, F., and McDonald, A.D. (2019). Analyzing Heart Rate as a Physiological Indicator of Post-Traumatic Stress Disorder: A Scoping Literature Review. Presented at the Human Factors and Ergonomics Society’s 2019 International Annual Meeting, Seattle, WA, October 2019.
  7. C16.  Jefferson, J. A. and McDonald, A.D. (2019). The automated vehicle social network: Analyzing tweets after a recent Tesla Autopilot crash. Presented at the Human Factors and Ergonomics Society’s 2019 International Annual Meeting, Seattle, WA, October 2019.
  8. C17.  Mutya, K., Shah, J., McDonald, A.D., and Jefferson, J. A. (2019). What are steering pictures are worth? Using image-based steering features to detect drowsiness on rural roads. Presented at the Human Factors and Ergonomics Society’s 2019 International Annual Meeting, Seattle, WA, October 2019.
  9. C18.  Sadeghi, M., Sasangohar, F., and McDonald, A.D. (2019). Analyzing Heart Rate as a Physiological Indicator of Post-Traumatic Stress Disorder: A Scoping Literature Review. Presented at the Houston Human Factors and Ergonomics Symposium, Houston, TX, April 2019.
  10. C19.  Smith, A., Sasangohar, F., and McDonald, A.D. (2019). Investigating Night Shift Nurse Preferences for a Drowsy Driving Mitigation Device. Presented at the Houston Human Factors and Ergonomics Symposium, Houston, TX, April 2019.
  11. C20.  Smith, A., Sasangohar, F., Larsen, E., Bonuel, N., and McDonald, A.D. (2019). Drowsy Driving Among Shift Work Nurses: A Qualitative Data Analysis. Presented at the HFES 2019 International Symposium on Human Factors and Ergonomics in Health Care, Chicago, IL, March 2019.
  12. C21.  Ade, N., Peres, S.C., McDonald, A.D., Mannan, S. (2018). A novel approach for offshore procedure design and analysis using machine learning. Presented at the 2018 Mary Kay O’Connor Process Safety Center International Symposium. College Station, TX, October 2018.