Stakeholder Events
4 October 2022, TU Munich – Stakeholder Science Fest
Journal Publications
Berge, S. H., Hagenzieker, M., Farah, H., & De Winter, J. C. F. (2022). Do cyclists need HMIs in future automated traffic? An interview study. Transportation Research Part F: Traffic Psychology and Behaviour, 84, 33–52. https://doi.org/10.1016/j.trf.2021.11.013
He, X., Stapel, J., Wang, M., & Happee, R. (2022). Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles. Transportation Research Part F, 86, 178–195. https://doi.org/10.1016/j.trf.2022.02.016
Lu, C., He, X., van Lint, H., Tu, H., Happee, R., & Wang, M. (2021). Performance evaluation of surrogate measures of safety with naturalistic driving data. Accident Analysis and Prevention, 162, 106403. https://doi.org/10.1016/j.aap.2021.106403
Nordhoff, S., Stapel, J., He, X., Gentner, A., & Happee, R. (2021). Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire. PLOS ONE, 16, e0260953. https://doi.org/10.1371/journal.pone.0260953
Tabone, W., De Winter, J. C. F., Ackermann, C., Bärgman, J., Baumann, M., Deb, S., Emmenegger, C., Habibovic, A., Hagenzieker, M., Hancock, P. A., Happee, R., Krems, J., Lee, J. D., Martens, M., Merat, N., Norman, D. A., Sheridan, T. B., & Stanton, N. A. (2021). Vulnerable road users and the coming wave of automated vehicles: Expert perspectives. Transportation Research Interdisciplinary Perspectives, 9, 100293. https://doi.org/10.1016/j.trip.2020.100293
Papers in Conferences Proceedings
Figalová, N., Pichen, J., Chuang, L. L., Baumann, M., & Pollatos, O. (2022). System immersion of a driving simulator affects the oscillatory brain activity. International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (AHFE), New York.
Pichen, J., Figalová, N., & Baumann, M. (2022). Should I stay or should I go? Using a cooperative Sneak Peek Interface in Highly Automated vehicles. International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (AHFE), New York.
Zhang, C., & Berger, C. (2022). Learning the pedestrian-vehicle interaction for pedestrian trajectory prediction. In proceedings of the 8th International Conference on Control, Automation and Robotics (ICCAR), IEEE. pp. 230-236. https://doi.org/10.1109/ICCAR55106.2022.9782673
Zhang, C., & Berger, C. (2022). Analyzing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning. Transport Research Arena (TRA) 2022, Lisbon.
Zhang, C., Berger, C., & Dozza, M. (2021). Social-IWSTCNN: A social interaction-weighted spatio-temporal convolutional neural network for pedestrian trajectory prediction in urban traffic scenarios. In proceedings of the 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE. pp. 1515–1522. https://doi.org/10.1109/IV48863.2021.9575958
Tabone, W., Lee, Y. M., Merat, N., Happee, R., & De Winter J. C. F. (2021). Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes. Proceedings of the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 209–218). https://doi.org/10.1145/3409118.3475149, https://youtu.be/DrxV2Nh5e-A
Scientific Abstracts, Workshops, Presentations, Podcasts, and Posters
Berge, S. H. (2021). Do cyclists need HMIs in future automated traffic? Presentation at the 9th International Cycling Safety Conference. https://youtu.be/OLTB-xVd45g
Berge, S. H. (2021). Do cyclists need HMIs in future automated traffic? An interview study. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR10_Do-cyclists-need-HMIs-in-future-automated-traffic.pdf
Figalová, N., Delp, A. L., Nick, A., Chuang, L. L., Baumann, M., & Pollatos, O. (2021). Alpha and theta power in repeated take-over requests. Neuroergonomics Conference 2021. https://neuroergonomicsconference.um.ifi.lmu.de/wp-content/uploads/submissions/197.pdf
Figalová, N. (2021). Understanding AV predictability using neuroergonomics. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR1_Figalova_New-1.png
He, X. (2021). AV occupants’ perception of safety in relation to AV behaviour. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR12_Xiaolin-He-1.pdf
Heyn, H. M., Knauss, E., Pir Muhammad, A., Eriksson, O., Linder, J., Subbiah, P., Kumar Pradhan, S., & Tungal, S. (2021). Requirement engineering challenges for AI-intense systems development. 2021 IEEE/ACM 1st Workshop on AI Engineering – Software Engineering for AI (WAIN). https://doi.org/10.1109/WAIN52551.2021.00020
Jokhio, s. (2021). Cooperative interaction strategies between automated vehicles and mixed motorized traffic. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR11_Sarang_Jokhio_AutoUI_final.pdf
Kalantari, A. H. (2021). Game-theoretic modelling for vehicle-pedestrian interactions. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR13_Amir-Hossein-Kalantari_v2-2.pdf
Liu, Y-C. (2021). Procedure for transparent Level 2 AV HMI. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR07_Yuan_poster_AutoUI2021.pdf
Mbelakani, N.Y. (2021). Long-term effects of automation on user behaviour. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR-2_NY-Mbelekani_AutoUI-Poster.pdf
Mohammadi, A. (2021). How cyclists communicate their intent? Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR14_Ali_Mohammadi_AUTO-UI.pdf
Peng, C. (2021). Developing more comfortable, transparent and acceptable AV-kinematic cues for drivers. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR5_Chen_Peng_v2.pdf
Pir Muhammad, A. (2021). Human factors in agile automated vehicle development. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR-8-Amna-.pdf
Pir Muhammad, A. (2021). Methods and guidelines for incorporating human factors requirements in automated vehicles development. In REFSQ Workshops. http://ceur-ws.org/Vol-2857/ds1.pdf
Tabone, W. (2021). Augmented reality for AV-VRU interactions. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR9_Wilbert_Poster.pdf
Tabone, A. (2021). Podcast on automated vehicles. Available at https://www.facebook.com/100067547438124/videos/139781804908165
Yang, X. (2021). Safety evaluation of automation using counterfactual simulations. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR-15-Xiaomi3.1-latest-version.pdf
Zhang, C. (2021). Pedestrian trajectory prediction using AI. Poster presented at the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. https://www.shape-it.eu/wp-content/uploads/2021/09/ESR3_Chi_Zhang_AUTOUI_Poster-1.pdf
Zhang, C., Berger, C., & Dozza, M. (2020). Towards understanding pedestrian behavior patterns from LiDAR Data. SAIS Workshop 2020. http://www.chalmers.se/SiteCollectionDocuments/Centrum/CHAIR/SAIS2020/SAIS_2020_Zhang_et_al.pdf
Zhang, C., Berger, C., & Dozza, M. (2020). The Prediction of Pedestrian Behavior from LiDAR Data. L3Pilot Summer School 2020, Poster. https://l3pilot.eu/fileadmin/user_upload/Events/L3Pilot_summerschool2020_ChiZhang_final.pdf
Preprints and Works Submitted for Publication
Kalantari, A. H. (2021). Vehicle-pedestrian interactions at uncontrolled locations: Leveraging distributed simulation to support game-theoretic modeling. https://www.researchgate.net/publication/355294362_Vehicle-Pedestrian_Interactions_at_Uncontrolled_Locations_Leveraging_Distributed_Simulation_to_Support_Game-Theoretic_Modeling
Peng, C., Merat, N., Romano, R., Hajiseyedjavadi, F., Paschalidis, E., Wei, C., Radhakrishnan, V., Solernou, A., Forster, D., & Boer, E. (2021). Drivers’ evaluation of different automated driving styles: Is It both comfortable and natural? https://www.researchgate.net/publication/351786327_Drivers’_Evaluation_of_Different_Automated_Driving_Styles_Is_It_both_Comfortable_and_Natural
Zhang, C., & Berger, C. (2022). Pedestrian behavior prediction using deep learning methods for urban scenarios: A review.
Project Deliverables
Figalová, N., Mbelekani, N.Y., Zhang, C., Yang, Y., Peng, C., Nasser, M., Yuan-Cheng, L., Pir Muhammad, A., Tabone, W., Berge, S. H., Jokhio, S., He, X., Hossein Kalantari, A., Mohammadi, A., & Yang, X. (2021). SHAPE-IT Deliverable 1.1: Methodological framework for modelling and empirical approaches. https://doi.org/10.17196/shape-it/2021/02/D1.1
Merat, N., Yang, Y., Lee, Y. M., Berge, S. H., Figalová, N., Jokhio, S., Peng, C., Mbelekani, N.Y., Nasser, M., Pir Muhammad, A., Tabone, W., Yuan-Cheng, L., & Bärgman, J. (2021). SHAPE-IT Deliverable 2.2: An overview of interfaces for automated vehicles (inside/outside). https://doi.org/10.17196/shape-it/2021/02/D2.1
News Coverage
Gent, E. (2022). Making driverless cars more expressive: Exaggerated stopping movements help pedestrians read autonomous cars’ minds. https://spectrum.ieee.org/self-driving-car-safety-features
Introduction video to SHAPE-IT. https://www.youtube.com/watch?v=xnKPfcs86EQ
