Dissemination

Stakeholder Events

4 October 2022, TU Munich – Invitation letter

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.

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

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. IEEE Intelligent Vehicles Symposium (pp. 1515–1522). https://doi.org/10.1109/IV48863.2021.9575958

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

Zhang, C., & Berger, C. (2022). Analyzing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning. Accepted presentation at Transport Research Arena (TRA) 2022.

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). Learning the pedestrian-vehicle interaction for pedestrian trajectory prediction. In the 8th International Conference on Control, Automation and Robotics (ICCAR), IEEE. https://arxiv.org/pdf/2202.05334.pdf

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

https://www.linkedin.com/company/shape-it-supporting-the-interaction-of-humans-and-automated-vehicles-preparing-for-the-environment

Introduction video to SHAPE-IT. https://www.youtube.com/watch?v=xnKPfcs86EQ

Group photo at a SHAPE-IT consortium meeting (Günzburg, Germany)