Publications
2024
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Sensor fusion to connect gaze fixation with dynamic driving context for driver attention management
Yang, S., Wilson, K. M., Shiferaw, B., Roady, T., Kuo, J., & Lenné, M. G. (2024).Transportation Research Part F, 107, 578–588.CANdrive Automated Vehicle Trial · Seeing Machines
2023
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Takeover Context Matters: Characterising Context of Takeovers in Naturalistic Driving using Super Cruise and Autopilot
Yang, S., McKerral, A., Mulhall, M. D., Lenné, M. G., Reimer, B., & Gershon, P. (2023).Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 112–122.MIT Advanced Vehicle Technology Consortium · Seeing Machines
2022
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Modeling Driver-Automation Interaction using A Naturalistic Multimodal Driving Dataset
Yang, S., Lenné, M. G., Reimer, B., & Gershon, P. (2022).Proceedings of the 66th Human Factors & Ergonomics Society International Annual Meeting, 66(1), 1462–1466.MIT Advanced Vehicle Technology Consortium · Seeing Machines
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Beyond gaze fixation: Modeling peripheral vision in relation to speed, Tesla Autopilot, cognitive load, and age in highway driving
Yang, S., Wilson, K. M., Roady, T., Kuo, J., & Lenné, M. G. (2022).Accident Analysis & Prevention, 171, 106670.CANdrive Automated Vehicle Trial · Seeing Machines
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Evaluating driver features for cognitive distraction detection and validation in manual and Level 2 automated driving
Yang, S., Wilson, K. M., Roady, T., Kuo, J., & Lenné, M. G. (2022).Human Factors, 64(4), 746–759.CANdrive Automated Vehicle Trial · Seeing Machines
2021
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Effects of distraction in on-road Level 2 automated driving: Impacts on glance behavior and take-over performance
Yang, S., Kuo, J., & Lenné, M. G. (2021).Human Factors, 63(8), 1485–1497.CANdrive Automated Vehicle Trial · Seeing Machines
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The impacts of temporal variation and individual differences in driver cognitive workload on ECG-based detection
Yang, S., Kuo, J., Lenné, M. G., Fitzharris, M., Horberry, T., Blay, K., Wood, D., Mulvihill, C., & Truche, C. (2021).Human Factors, 63(5), 772–787.Advanced Safe Truck Concept (ASTC) · Seeing Machines
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A Bayesian regression analysis of truck drivers’ use of cooperative adaptive cruise control (CACC) for platooning on California highways
Yang, S., Shladover, S. E., Lu, X., Ramezani, H., Kailas, A., & Altan, O. D. (2021).Journal of Intelligent Transportation Systems, 27(1), 80–91.Connected and Automated Truck Platooning · PATH, UC Berkeley
2020
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Driver trust & mode confusion in an on-road study of level-2 automated vehicle technology
Wilson, K. M., Yang, S., Roady, T., Kuo, J., & Lenné, M. G. (2020).Safety Science, 130, 104845.CANdrive Automated Vehicle Trial · Seeing Machines
2019
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Supporting Multitracking Performance with Novel Visual, Auditory, and Tactile Displays
Yang, S., & Ferris, T. K. (2019).IEEE Transactions on Human-Machine Systems, 50(1), 79–88.Multimodal Display Design · Texas A&M University
2018
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A first investigation of truck drivers’ preferences and behaviors using a prototype cooperative adaptive cruise control system
Yang, S., Shladover, S. E., Lu, X., Ramezani, H., Kailas, A., & Altan, O. D. (2018).Transportation Research Record, 2672(2), 39–48.Connected and Automated Truck Platooning · PATH, UC Berkeley
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Cognitive efficiency in human-machine systems: Metrics of display effectiveness for supporting multitask performance
Yang, S., & Ferris, T. K. (2018).Journal of Cognitive Engineering and Decision Making, 12(2), 153–169.Cognitive Efficiency in Human-Machine Systems · Texas A&M University
Awards
- 2023 Best Paper Award, Road User Measurement and Evaluation Committee (ACH60), Transportation Research Board (TRB)
- 2022 Best Extended Abstract/Paper, Australasian Road Safety Conference
- 2018
- 2018
- 2016 North American Automotive Innovation & Startup Competition Award, NACSAE
- 2014 Alphonse Chapanis Best Student Paper Award (Finalist, top 3 of 37), Human Factors and Ergonomics Society
Education
- 2016 PhD, Texas A&M University