Publications

Listed by Type

(Asterisks indicate HiMER Lab students.)

  • [J12] Choi, S. H., Park, K., Roh, D., Lee, J.Y., *Mohammed, M., *Ghasemi, Y., & Jeong, H. (2022). An Integrated Mixed Reality System for Safety-aware Human-Robot Collaboration Using Deep Learning and Digital Twin Generation. Robotics and Computer-Integrated Manufacturing. DOI: 10.1016/j.rcim.2021.102258.
  • [J11] *Singh, A., *Ghasemi, Y., Jeong, H., Kim, M., & Johnson, A. (2021). A Comparative Evaluation of the Wearable Augmented Reality-based Data Presentation Interface and Traditional Methods for Data Entry Tasks. International Journal of Industrial Ergonomics. DOI: 10.1016/j.ergon.2021.103190.
  • [J10] Park, K., Choi, S. H., Lee, J.Y., *Ghasemi, Y., *Mohammed, M., & Jeong, H. (2021). Hands-Free Human-Robot Interaction Using Multimodal Gestures and Deep Learning in Wearable Mixed Reality. IEEE Access. DOI: 10.1109/ACCESS.2021.3071364.
  • [J9] Bitkina, O.V., Jeong, H., Lee, B.C., Park, J., Park, J., & Kim, H.K. (2020). Perceived trust in artificial intelligence technologies: a preliminary study. Human Factors and Ergonomics in Manufacturing & Service Industries, 30(4), 282-290. DOI: 10.1002/hfm.20839.
  • [J8] Lee, B. C., Park, J., Jeong, H., & Park, J. (2020). Validation of Trade-Off in Human–Automation Interaction: An Empirical Study of Contrasting Office Automation Effects on Task Performance and Workload. Applied Sciences, 10(4), 1288. DOI: 10.3390/app10041288.
  • [J7] Jeong, H., Kang, Z., & Liu, Y. (2019). Driver Glance Behaviors and Scanning Patterns: Applying Static and Dynamic Glance Measures to the Analysis of Curve Driving with Secondary Tasks. Human Factors and Ergonomics in Manufacturing & Service Industries, 29(6), 437-446. DOI: 10.1002/hfm.20798.
  • [J6] Branstrom, C., Jeong, H., Park, J., Lee, B. C., & Park, J. (2019). Relationships between Physiological Signals and Stress Levels in the case of Automated Technology Failure. Human-Intelligent Systems Integration, 1(1), 43-51, DOI: 10.1007/s42454-019-00003-w.
  • [J5] Jeong, H., & Liu, Y. (2019). Computational modeling of touchscreen drag gestures using a cognitive architecture and motion tracking. International Journal of Human-Computer Interaction, 35 (6), 510-520, DOI: 10.1080/10447318.2018.1466858.
  • [J4] Jeong, H. & Liu, Y. (2019). Effects of non-driving-related-task modality and road geometry on eye movements, lane-keeping performance, and workload while driving. Transportation Research Part F: Psychology and Behaviour, 60, 157-171. DOI: 10.1016/j.trf.2018.10.015.
  • [J3] Jeong, H., Jang, Y., Bowman, P., & Masoud, N. (2018). Classification of motor vehicle crash injury severity: A hybrid approach for imbalanced data. Accident Analysis & Prevention, 120, 250-261. DOI: 10.1016/j.aap.2018.08.025.
  • [J2] Jeong, H., & Liu, Y. (2017). Effects of touchscreen gesture’s type and direction on finger-touch input performance and subjective ratings. Ergonomics, 60 (11), 1528-1539. DOI: 10.1080/00140139.2017.1313457.
  • [J1] Zhou, S., Jeong, H., & Green P. (2017). How Consistent Are the Best-Known Readability Equations in Estimating the Readability of Design Standards?. IEEE Transactions on Professional Communication, 60(1), 97-111. DOI: 10.1109/TPC.2016.2635720.

(Asterisks indicate HiMER Lab students.)

  • [C25] *Ghasemi, Y., *Singh, A., Kim, M., Johnson, A., & Jeong, H. (2021). Effects of Head-locked Augmented Reality on User’s Performance and Perceived Workload. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 1094-1098). DOI: 10.1177/1071181321651169[Video]
  • [C24] *Haghighat, P., *Prince, A., & Jeong, H. (2021). Graph Convolutional Networks for Exercise Motion Classification. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 685-689). DOI: 10.1177/1071181321651255. [Video]
  • [C23] Jeon, M., Zhang, Y., Jeong, H., Jansen, P. J., & Bao, S. (2021). Computational Modeling of Driving Behaviors: Challenges and Approaches. In 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 160-163). DOI: 10.1145/3473682.3477436.
  • [C22] *Mohammed, M., Jeong, H., & Kim, M. (2021). Increasing the Efficacy of a Powered Ankle-Foot Prosthesis with 3D Joint Angle Tracking. In Proceedings of the 2nd IEEE International Conference on Human-Machine Systems (IEEE ICHMS 2021). DOI: 10.1109/ICHMS53169.2021.9582627. [Video]
  • [C21] Choo, S., Nam, C.S., *Ghasemi, Y., & Jeong, H. (2021). Effectiveness of Multi-Task Learning for Deep Learning on the Prediction Performance of EEG-based Cognitive State Recognition. In Proceedings of the 2021 IISE Annual Conference. [Link]
  • [C20] *Mohammed, M., Jeong, H., & Lee, J. Y. (2021). Human-Robot Collision Avoidance Scheme for Industrial Settings Based on Injury Classification. In Proceedings of the Companion of the 16th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). DOI: 10.1145/3434074.3447232. [Video]
  • [C19] *Singh, A., *Huynh, T., Kim, M., Johnson, A., & Jeong, H. (2020). Can Augmented Reality Assist Data Entry Task? A Preliminary Study. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. DOI: 10.1177/1071181320641512. [Video]
  • [C18] Beadle. S, Spain R., Goldberg, B., …, *Verma, P., & Jeong, H., …(2020). Virtual Reality, Augmented Reality, and Virtual Environments: Demonstrations of Current Technologies and Future Directions. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. DOI: 10.1177/1071181320641514. [Video]
  • [C17] Jeong, H., *Singh, A., Kim, M., & Johnson, A. (2020). Using Augmented Reality to Assist Seated Office Workers’ Data Entry Tasks. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE. DOI: 10.1109/VRW50115.2020.00065.
  • [C16] Pradhan, A., Jeong, H., & Ross, B. (2019). Is Driving Simulation a Viable Method for Examining Drivers’ Ethical Choices? An Exploratory Study. In Proceedings of the 10th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design (pp. 106-112). [link]
  • [C15] Pradhan, A., Jeong, H., Lin, B., Zakrajsek, J., Ryan L., Eby, D., & Molnar, L. (2019). Young Drivers’ Visual Search Behaviors in Automated Vehicles, Transportation Research Board 2019 Annual Meeting, Washington D.C. [link]
  • [C14] Jeong, H., & Liu (2018). Development and Evaluation of a Computational Human Performance Model of In-vehicle Manual and Speech Interactions. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 62, No. 1, pp. 1642-1642). SAGE Publications. DOI: 10.1177/1541931218621372.
  • [C13] Jeong, H., Park, J., Park, J., & Lee, B. C. (2018). Effects of Automation Type on Human Performance in Proofreading Tasks. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 62, No. 1, pp. 1140-1140). SAGE Publications. DOI: 10.1177/1541931218621261.
  • [C12] Jeong, H., Park, J., Park, J., Pham, T., & Lee, B. C. (2018, July). Analysis of Trust in Automation Survey Instruments Using Semantic Network Analysis. In International Conference on Applied Human Factors and Ergonomics (pp. 9-18). Springer, Cham. DOI: 10.1007/978-3-319-94334-3_2.
  • [C11] Park, J., Jeong, H., Park, J., & Lee, B. C. (2018, July). Relationships Between Cognitive Workload and Physiological Response Under Reliable and Unreliable Automation. In International Conference on Applied Human Factors and Ergonomics (pp. 3-8). Springer, Cham. DOI: 10.1007/978-3-319-94334-3_1.
  • [C10] Jeong, H., & Liu, Y. (2018). Cognitive Modeling of Remote-manual and Voice Controls for In-vehicle Human-automation Systems. In Proceedings of the Companion of the 13th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2018). DOI: 10.1145/3173386.3176958.
  • [C9] Jeong, H., & Liu, Y. (2017). Horizontal Curve Driving Performance and Safety Affected by Road Geometry and Lead Vehicle. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 61, No. 1, pp. 1629-1633). SAGE Publications. DOI: 10.1177/1541931213601893.
  • [C8] Jeong, H., & Liu, Y. (2017). Driver Workload and Secondary Task Modality while Driving on Horizontal Curves. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 61, No. 1, pp. 1763-1767). SAGE Publications. DOI: 10.1177/1541931213601923.
  • [C7] Jeong, H., Feng, F., & Liu, Y. (2017). Computational Modeling of Driver Lateral Control on Curved Roads with Integration of Vehicle Dynamics and Reference Trajectory Tracking. In Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design (pp. 193-199). DOI: 10.17077/drivingassessment.1635.
  • [C6] Jeong, H., & Liu, Y. (2017). Modeling of Stimulus-Response Secondary Tasks with Different Modalities While Driving in a Computational Cognitive Architecture. In Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design (pp. 58-64). DOI: 10.17077/drivingassessment.1615.
  • [C5] Jeong, H., & Liu, Y. (2017). Development of a Computational Cognitive Model for In-vehicle Speech Interfaces. In Proceedings of the Institute of Industrial and Systems Engineering (IISE) Annual Conference (pp. 2171-2176). [link]
  • [C4] Jeong, H., & Liu, Y. (2017). Modeling Touchscreen Pinch and Spread Gestures in a Computational Cognitive Architecture. In Proceedings of the Institute of Industrial and Systems Engineering (IISE) Annual Conference (pp. 2177-2182). [link]
  • [C3] Jeong, H., & Liu, Y. (2016). Computational Modeling of Swipe Gestures on Touch Screens: Application of Fitts’ Law in 3D Space. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 1721-1725). SAGE Publications. DOI: 10.1177/1541931213601395.
  • [C2] Jeong, H., & Green, P. (2015). Honking Helps Overcome the Driving Too Slowly Problem in Driving Simulators. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 59, No. 1, pp. 1646-1650). SAGE Publications. DOI: 10.1177/1541931215591356.
  • [C1] Green, P., Jeong, H., & Kang, T. (2014). Using an OpenDS Driving Simulator for Car Following: A First Attempt. In Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 1-6). ACM. DOI: 10.1145/2667239.2667295.

(Asterisks indicate HiMER Lab students.)

  • [T4] Pradhan, A., Jeong, H., & Bao, S. (2020). Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety. (Technical Report UMTRI-2020-07), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]
  • [T3] Lin, B., Kang, T., Green, P., & Jeong, H. (2016). Analysis and modeling of drivers’ responses at urban signalized intersections (Technical Report UMTRI-2016-13), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]
  • [T2] Jeong, H., & Green, P. (2013). SAE and ISO Standards for Warnings and Other Driver Interface Elements: A Summary (Technical Report UMTRI-2013-16), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]
  • [T1] Jeong, H., & Green, P. (2012). Forward Collision Warning Modality and Content: A Summary of Human Factors Experiments (Technical Report UMTRI-2012-35), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]

Listed by Year

(Asterisks indicate HiMER Lab students.)

  • Choi, S. H., Park, K., Roh, D., Lee, J.Y., *Mohammed, M., *Ghasemi, Y., & Jeong, H. (2022). An Integrated Mixed Reality System for Safety-aware Human-Robot Collaboration Using Deep Learning and Digital Twin Generation. Robotics and Computer-Integrated Manufacturing. DOI: 10.1016/j.rcim.2021.102258.

(Asterisks indicate HiMER Lab students.)

  • *Ghasemi, Y., *Singh, A., Kim, M., Johnson, A., & Jeong, H. (2021). Effects of Head-locked Augmented Reality on User’s Performance and Perceived Workload. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 1094-1098). DOI: 10.1177/1071181321651169. [Video]
  • *Haghighat, P., *Prince, A., & Jeong, H. (2021). Graph Convolutional Networks for Exercise Motion Classification. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 685-689). DOI: 10.1177/1071181321651255[Video]
  • *Mohammed, M., Jeong, H., & Kim, M. (2021). Increasing the Efficacy of a Powered Ankle-Foot Prosthesis with 3D Joint Angle Tracking. In Proceedings of the 2nd IEEE International Conference on Human-Machine Systems (IEEE ICHMS 2021). DOI: 10.1109/ICHMS53169.2021.9582627. [Video]
  • Jeon, M., Zhang, Y., Jeong, H., Jansen, P. J., & Bao, S. (2021). Computational Modeling of Driving Behaviors: Challenges and Approaches. In 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 160-163). DOI: 10.1145/3473682.3477436.
  • *Singh, A., *Ghasemi, Y., Jeong, H., Kim, M., & Johnson, A. (2021). A Comparative Evaluation of the Wearable Augmented Reality-based Data Presentation Interface and Traditional Methods for Data Entry Tasks. International Journal of Industrial Ergonomics. DOI: 10.1016/j.ergon.2021.103190.
  • Choo, S., Nam, C.S., *Ghasemi, Y., & Jeong, H. (2021). Effectiveness of Multi-Task Learning for Deep Learning on the Prediction Performance of EEG-based Cognitive State Recognition. In Proceedings of the 2021 IISE Annual Conference. [Link]
  • Park, K., Choi, S. H., Lee, J.Y., *Ghasemi, Y., *Mohammed, M., & Jeong, H. (2021). Hands-Free Human-Robot Interaction Using Multimodal Gestures and Deep Learning in Wearable Mixed Reality. IEEE Access. DOI: 10.1109/ACCESS.2021.3071364.
  • *Mohammed, M., Jeong, H., & Lee, J. Y. (2021). Human-Robot Collision Avoidance Scheme for Industrial Settings Based on Injury Classification. In Proceedings of the Companion of the 16th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). DOI: 10.1145/3434074.3447232. [Video]

(Asterisks indicate HiMER Lab students.)

  • *Singh, A, *Huynh, T., Kim, M., Johnson, A., & Jeong, H. (2020). Can Augmented Reality Assist Data Entry Task? A Preliminary Study. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. DOI: 10.1177/1071181320641512. [Video]
  • Beadle. S, Spain R., Goldberg, B., …, *Verma, P., & Jeong, H., …(2020). Virtual Reality, Augmented Reality, and Virtual Environments: Demonstrations of Current Technologies and Future Directions. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. DOI: 10.1177/1071181320641514. [Video]
  • Pradhan, A., Jeong, H., & Bao, S. (2020). Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety. (Technical Report UMTRI-2020-07), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]
  • Jeong, H., *Singh, A., Kim, M., & Johnson, A. (2020). Using Augmented Reality to Assist Seated Office Workers’ Data Entry Tasks. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE. DOI: 10.1109/VRW50115.2020.00065. l
  • Bitkina, O.V., Jeong, H., Lee, B.C., Park, J., Park, J., & Kim, H.K. (2020). Perceived trust in artificial intelligence technologies: a preliminary study. Human Factors and Ergonomics in Manufacturing & Service Industries, DOI: 10.1002/hfm.20839
  • Lee, B. C., Park, J., Jeong, H., & Park, J. (2020). Validation of Trade-Off in Human–Automation Interaction: An Empirical Study of Contrasting Office Automation Effects on Task Performance and Workload. Applied Sciences, 10(4), 1288. DOI: 10.3390/app10041288.
  • Jeong, H., Kang, Z., & Liu, Y. (2019). Driver Glance Behaviors and Scanning Patterns: Applying Static and Dynamic Glance Measures to the Analysis of Curve Driving with Secondary Tasks. Human Factors and Ergonomics in Manufacturing & Service Industries, 29(6), 437-446. DOI: 10.1002/hfm.20798.
  • Pradhan, A., Jeong, H., & Ross, B. (2019). Is Driving Simulation a Viable Method for Examining Drivers’ Ethical Choices? An Exploratory Study. In Proceedings of the 10th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design (pp. 106-112). [link]
  • Branstrom, C., Jeong, H., Park, J., Lee, B. C., & Park, J. (2019). Relationships between Physiological Signals and Stress Levels in the case of Automated Technology Failure. Human-Intelligent Systems Integration, 1(1), 43-51, DOI: 10.1007/s42454-019-00003-w.
  • Pradhan, A., Jeong, H., Lin, B., Zakrajsek, J., Ryan L., Eby, D., & Molnar, L. (2019). Young Drivers’ Visual Search Behaviors in Automated Vehicles, Transportation Research Board 2019 Annual Meeting, Washington D.C.. [link]
  • Jeong, H., & Liu, Y. (2019). Computational modeling of touchscreen drag gestures using a cognitive architecture and motion tracking. International Journal of Human-Computer Interaction, 35 (6), 510-520, DOI: 10.1080/10447318.2018.1466858.
  • Jeong, H. & Liu, Y. (2019). Effects of non-driving-related-task modality and road geometry on eye movements, lane-keeping performance, and workload while driving. Transportation Research Part F: Psychology and Behaviour, 60, 157-171. DOI: 10.1016/j.trf.2018.10.015.
  • Jeong, H., Jang, Y., Bowman, P., & Masoud, N. (2018). Classification of motor vehicle crash injury severity: A hybrid approach for imbalanced data. Accident Analysis & Prevention, 120, 250-261. DOI: 10.1016/j.aap.2018.08.025.
  • Jeong, H., & Liu (2018). Development and Evaluation of a Computational Human Performance Model of In-vehicle Manual and Speech Interactions. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 62, No. 1, pp. 1642-1642). SAGE Publications. DOI: 10.1177/1541931218621372.
  • Jeong, H., Park, J., Park, J., & Lee, B. C. (2018). Effects of Automation Type on Human Performance in Proofreading Tasks. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 62, No. 1, pp. 1140-1140). SAGE Publications. DOI: 10.1177/1541931218621261.
  • Jeong, H., Park, J., Park, J., Pham, T., & Lee, B. C. (2018, July). Analysis of Trust in Automation Survey Instruments Using Semantic Network Analysis. In International Conference on Applied Human Factors and Ergonomics (pp. 9-18). Springer, Cham. DOI: 10.1007/978-3-319-94334-3_2.
  • Park, J., Jeong, H., Park, J., & Lee, B. C. (2018, July). Relationships Between Cognitive Workload and Physiological Response Under Reliable and Unreliable Automation. In International Conference on Applied Human Factors and Ergonomics (pp. 3-8). Springer, Cham. DOI: 10.1007/978-3-319-94334-3_1.
  • Jeong, H., & Liu, Y. (2018). Cognitive Modeling of Remote-manual and Voice Controls for In-vehicle Human-automation Systems. In Proceedings of the Companion of the 13th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2018). DOI: 10.1145/3173386.3176958.
  • Jeong, H., & Liu, Y. (2017). Horizontal Curve Driving Performance and Safety Affected by Road Geometry and Lead Vehicle. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 61, No. 1, pp. 1629-1633). SAGE Publications. DOI: 10.1177/1541931213601893.
  • Jeong, H., & Liu, Y. (2017). Driver Workload and Secondary Task Modality while Driving on Horizontal Curves. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 61, No. 1, pp. 1763-1767). SAGE Publications. DOI: 10.1177/1541931213601923.
  • Jeong, H., Feng, F., & Liu, Y. (2017). Computational Modeling of Driver Lateral Control on Curved Roads with Integration of Vehicle Dynamics and Reference Trajectory Tracking. In Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design (pp. 193-199). DOI: 10.17077/drivingassessment.1635.
  • Jeong, H., & Liu, Y. (2017). Modeling of Stimulus-Response Secondary Tasks with Different Modalities While Driving in a Computational Cognitive Architecture. In Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design (pp. 58-64). DOI: 10.17077/drivingassessment.1615.
  • Jeong, H., & Liu, Y. (2017). Development of a Computational Cognitive Model for In-vehicle Speech Interfaces. In Proceedings of the Institute of Industrial and Systems Engineering (IISE) Annual Conference (pp. 2171-2176). [link]
  • Jeong, H., & Liu, Y. (2017). Modeling Touchscreen Pinch and Spread Gestures in a Computational Cognitive Architecture. In Proceedings of the Institute of Industrial and Systems Engineering (IISE) Annual Conference (pp. 2177-2182). [link]
  • Jeong, H., & Liu, Y. (2017). Effects of touchscreen gesture’s type and direction on finger-touch input performance and subjective ratings. Ergonomics, 60 (11), 1528-1539. DOI: 10.1080/00140139.2017.1313457.
  • Zhou, S., Jeong, H., & Green P. (2017). How Consistent Are the Best-Known Readability Equations in Estimating the Readability of Design Standards?. IEEE Transactions on Professional Communication, 60(1), 97-111. DOI: 10.1109/TPC.2016.2635720.
  • Jeong, H., & Liu, Y. (2016). Computational Modeling of Swipe Gestures on Touch Screens: Application of Fitts’ Law in 3D Space. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 1721-1725). SAGE Publications. DOI: 10.1177/1541931213601395.
  • Lin, B., Kang, T., Green, P., & Jeong, H. (2016). Analysis and modeling of drivers’ responses at urban signalized intersections (Technical Report UMTRI-2016-13), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]
  • Jeong, H., & Green, P. (2015). Honking Helps Overcome the Driving Too Slowly Problem in Driving Simulators. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 59, No. 1, pp. 1646-1650). SAGE Publications. DOI: 10.1177/1541931215591356.
  • Green, P., Jeong, H., & Kang, T. (2014). Using an OpenDS Driving Simulator for Car Following: A First Attempt. In Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 1-6). ACM. DOI: 10.1145/2667239.2667295.
  • Jeong, H., & Green, P. (2013). SAE and ISO Standards for Warnings and Other Driver Interface Elements: A Summary (Technical Report UMTRI-2013-16), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]
  • Jeong, H., & Green, P. (2012). Forward Collision Warning Modality and Content: A Summary of Human Factors Experiments (Technical Report UMTRI-2012-35), Ann Arbor, MI: University of Michigan Transportation Research Institute. [link]