Written Works

Conference Proceedings:

• Chelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, and Jichen Zhu. 2019. Modeling Behavior Patterns with an Unfamiliar Voice User Interface. In Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '19). ACM, New York, NY, USA, 196-200. DOI: https://doi.org/10.1145/3320435.3320475.

• David Grethlein and Santiago Ontañón. May 2020. Spatially Aligned Clustering of Driving Simulator Data. Proceedings of the 33rd Conference of the Florida Artificial Intelligence Research Society Conference (FLAIRS 33).  AAAI, North Miami, FL, USA. https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18405/17518.

• David Grethlein, Aleksanteri Sladek, and Santiago Ontañón. May 2021. ADHD Prediction via Time Series Ensemble fed Driving Simulator Data. The International FLAIRS Conference Proceedings, 34. https://doi.org/10.32473/flairs.v34i1.128531.

• David Grethlein. July 2021. Predicting On-Road Exam Outcomes by Comparing Individual Driver Performance to Prototypical Driving Simulator Performances. Proceedings of the 2021 Driving Assessment Conference.  https://www.researchgate.net/publication/353508305.

• David Grethlein, Aleksanteri Sladek, and Santiago Ontañón. May 2022. Extracting Sections of Simulated Driving Routes that Elicit Driving Responses Predictive of ADHD via Recursively Constructed Ensembles. The International FLAIRS Conference Proceedings, 35. https://doi.org/10.32473/flairs.v35i.130539.

• David Grethlein, Venk Kandadai, and Will Dampier. May 2023. Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data. The International FLAIRS Conference Proceedings, 36. https://doi.org/10.32473/flairs.36.133381.

Journal Articles:

• David Grethlein, Flaura K. Winston, Elizabeth Walshe, Sean Tanner, Venk Kandadai, and Santiago Ontañón. 2019. Prediction of Licensing On-Road Exam Outcomes from Virtual Driving Test Data: Novel Method Using Time Series Clustering. Journal of Medical Internet Research. https://doi.org/10.2196/13995

• Elizabeth A. Walshe, Michael R. Elliott, Daniel Romer, Shukai Cheng, Allison E. Curry, Tom Seacrist, Natalie Oppenheimer, Abraham J. Wyner, David Grethlein, Alexander K. Gonzalez, Flaura K. Winston. April 2022. Novel Use of a Virtual Driving Assessment to Classify Driver Skill at the Time of Licensure. Transportation Research Part F: Traffic Psychology and Behaviour. https://doi.org/10.1016/j.trf.2022.04.009 

• David Grethlein, Vanessa Pirrone, Kathryn N. Devlin, Will Dampier, Zsofia Szep, Flaura K. Winston, Santiago Ontañón, Elizabeth A. Walshe, Kim Malone, Shinika Tillman, Beau M. Ances, Venk Kandadai, Dennis L. Kolson, Brian Wigdahl. August 2022. Examining Virtual Driving Test Performance and its Relationship to individuals with HIV-associated Neurocognitive Disorders. Frontiers in Neuroscience, Translational Neuroscience. https://doi.org/10.3389/fnins.2022.912766.

• Elizabeth A. Walshe, Michael R. Elliot, Shukai Cheng, Daniel Romer, Allison E. Curry, David Grethlein, Alexander K. Gonzalez, and Flaura K. Winston. October 2023. Driving Skills at Licensure and Time to First Crash. American Academy of Pediatrics, Pediatrics. e2022060817. https://doi.org/10.1542/peds.2022-060817.

Pre-print:

• Huang Shengyi and David Grethlein. 2019. Generating Interpretable Class Model Visualizations for CNNs with Varying Dilation Factors. DOI: 10.13140/RG.2.2.10815.66720 (Pre-print June 2019).

• Elizabeth A. Walshe, Michael R.Elliott, Shukai Cheng, Daniel Romer, Allison E. Curry, David Grethlein, Alexander K. Gonzalez, and Flaura K. Winston. (Accepted April 2023, forthcoming). Virtual Driving Assessment of Skills at Licensure Predicts Time to First Crash Post-Licensure in Newly Licensed Young Drivers. American Academy of Pediatrics. Pediatrics. Available at SSRN: https://ssrn.com/abstract=4265371 or http://dx.doi.org/10.2139/ssrn.4265371.

Peer Reviewer for Conference:

• 2021 AAAI Fall Symposium Computational Theory of Mind for Human-Machine Teams.

Peer Reviewer for Online Journal:

• 2023 Elsevier Cortex

• 2023 NPJ Digital Medicine

Media Mentions and Appearances:

• Julie Jargon. January 2024. What Kind of Driver Will Your Kid Be? This Test can Tell. Wall Street Journal. Technology. https://www.wsj.com/tech/personal-tech/this-test-can-tell-how-likely-a-young-driver-is-to-crash-4eb692bf 

• Nina Shapiro. October 2023. Virtual Driving Test Can Predict Risks of Teen Car Accidents. Forbes Magazine. Innovations in Healthcare. https://www.forbes.com/sites/ninashapiro/2023/10/17/virtual-driving-test-can-predict-risks-of-teen-car-accidents/?sh=6a5e8ee033b1