Stakeholder Events
4 October 2022, TU Munich – Stakeholder Science Fest
20-21 June 2023, Chalmers University – Final Stakeholder Event
Journal Publications
Jokhio, S., Olleja, P., Bärgman, J., Yan, F., & Baumann, M. (2023). Analysis of time-to-lane-change-initiation using realistic driving data. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2023.3329690
Jokhio, S., Olleja, P., Bärgman, J., Yan, F., & Baumann, M. (2023). Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data. IET Intelligent Transport Systems. Advance online publication. https://doi.org/10.1049/itr2.12457
Berge, S. H., De Winter, J. C. F., & Hagenzieker, M. (2023). Support systems for cyclists in automated traffic: A review and future outlook. Applied Ergonomics, 111, 104043. https://doi.org/10.1016/j.apergo.2023.104043
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
Figalová, N., Chuang, L. L., Pichen, J., Baumann, M., & Pollatos, O. (2022). Ambient light conveying reliability improves drivers’ takeover performance without increasing mental workload. Multimodal Technologies and Interaction, 6, 73. https://doi.org/10.3390/mti6090073
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
Kalantari, A. H., Yang, Y., De Pedro, J. G., Lee, Y. M., Horrobin, A., Solernou, A., Holmes, C., Merat, N., & Markkula, G. (2023). Who goes first? A distributed simulator study of vehicle-pedestrian interaction. Accident Analysis and Prevention, 186, 107050. https://doi.org/10.1016/j.aap.2023.107050
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., Happee, R., García, J., Lee, Y. M., Lupetti, L., Merat, N., & De Winter J. C. F. (2023). Augmented reality interfaces for pedestrian-vehicle interactions: An online study. Transportation Research Part F: Traffic Psychology and Behaviour, 94, 170-189. https://doi.org/10.1016/j.trf.2023.02.005
Tabone, W., & De Winter J. C. F. (2023). Using ChatGPT for Human-Computer Interaction Research: A Primer. Royal Society Open Science. https://www.researchgate.net/publication/367284084_Using_ChatGPT_for_Human-Computer_Interaction_Research_A_Primer
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
Zhang, C., Ni, Z, & Berger, C. (2023). Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction. IEEE Transactions on Intelligent Vehicles. https://doi.org/10.1109/tiv.2023.3285804
Zhang, C., & Berger, C. (2023). Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2023.3281393
Papers in Conferences Proceedings
Block, A., Joshi, S., Tabone, W., Pandya A., Lee, S., Patil, V., Britten, N., & Schmitt, P. (2023). The Road Ahead: Advancing Interactions between Autonomous Vehicles, Pedestrians, and Other Road Users. Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). Busan, South Korea.
Zhang, C., Kalantari, A. H., Yang, Y., Ni, Z., Markkula, G., Merat, N., & Berger, C. (2023). Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings. In 2023 IEEE Intelligent Vehicles Symposium (IV). arXiv preprint: https://arxiv.org/abs/2304.08260
Joshi, S., Block, A., Tabone, W., Pandya A., & Schmitt, P. (2023). Advancing the State of AV-Vulnerable Road User Interaction: Challenges and Opportunities. Proceedings of the AAAI 2023 Spring Symposium. Palo Alto, California, United States.
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. http://doi.org/10.54941/ahfe1001825
Mbelekani, N., & Bengler, K. (2022). Interdisciplinary industrial design strategies for human-automation interaction: Industry experts’ perspectives. International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (AHFE), New York. http://doi.org/10.54941/ahfe1002025
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. http://doi.org/10.54941/ahfe1002164
Zhang, C., & Berger, C. (2022). Learning the pedestrian-vehicle interaction for pedestrian trajectory prediction. In proceedings of the 8th IEEE International Conference on Control, Automation and Robotics (ICCAR), 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.
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. In proceedings of the 2021 IEEE Intelligent Vehicles Symposium (IV). 1515–1522. https://doi.org/10.1109/IV48863.2021.9575958
Scientific Abstracts, Workshops, Presentations, Blog posts, 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., Happee, R., García De Pedro, J., Lee, Y. M., Lupetti, M. L., Merat, N., & De Winter, J. C. F. (2022). Augmented reality concepts for pedestrian-vehicle interactions: An online study. Poster session presented at 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), New York, United States. https://research.tudelft.nl/en/publications/augmented-reality-concepts-for-pedestrian-vehicle-interactions-an
Tabone, W. (2022). Enhancing the transport IoT of the future: towards extended reality HMIs. Poster session presented at SHAPE-IT ScienceFest, Munich, Germany. https://research.tudelft.nl/en/publications/enhancing-the-transport-iot-of-the-future-towards-extended-realit
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, W. (2021). Podcast on automated vehicles. Available at https://www.facebook.com/100067547438124/videos/139781804908165
Tabone, W. (2023). Self-driving cars: will they really happen? https://medium.com/@wiltabone/self-driving-cars-will-they-really-happen-f768ac21119
Tabone, W. (2023). Case Study: AR interfaces for automated vehicle-pedestrian interactions. https://medium.com/@wiltabone/self-driving-cars-will-they-really-happen-f768ac21119
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
Peereboom, J*., Tabone, W*., Dodou, D., & De Winter J. C. F. (2023). Head-locked, world-locked, or conformal diminished-reality? An examination of different AR solutions for pedestrian safety in occluded scenarios. https://www.researchgate.net/publication/371509780_Head-locked_world-locked_or_conformal_diminished-reality_An_examination_of_different_AR_solutions_for_pedestrian_safety_in_occluded_scenarios
Tabone, W., Happee, R., Yang, Y., Sadraei, E., García, J., Lee, Y. M., Merat, N., & De Winter J. C. F. (2023). Immersive Insights: Evaluating Augmented Reality Interfaces for Pedestrians in a CAVE-Based Experiment. https://www.researchgate.net/publication/370160064_Immersive_Insights_Evaluating_Augmented_Reality_Interfaces_for_Pedestrians_in_a_CAVE-Based_Experiment
El Jouhri, A., El Sharkawy, A., Paksoy, H., Youssif, O., He, X., Kim, S., & Happee, R. (2022). The influence of a colour themed HMI on trust and take-over performance in automated vehicles. https://www.researchgate.net/publication/366605649_The_influence_of_a_colour_themed_HMI_on_trust_and_take-over_performance_in_automated_vehicles
Kalantari, A. H., Markkula, G., Uzondu, C., Lyu, W., Garcia de Pedro, J., Madigan, R., … & Merat, N. (2022). Vehicle-Pedestrian Interactions at Uncontrolled Locations: Leveraging Distributed Simulation to Support Game Theoretic Modeling (No. TRBAM-22-01874). https://psyarxiv.com/3ypkd/download?format=pdf
Markkula, G., Lin, Y. S., Srinivasan, A. R., Billington, J., Leonetti, M., Kalantari, A. H., … & Merat, N. (2022). Explaining human interactions on the road requires large-scale integration of psychological theory. https://psyarxiv.com/hdxbs/download?format=pdf
Mohammadi, A., Dozza, M., & Bianchi-Piccinini, G. (2022). How do cyclists negotiate an unsignalized intersection with a vehicle? Modeling cyclists’ yielding behavior using naturalistic data. Modeling Cyclists’ Yielding Behavior Using Naturalistic Data (November 15, 2022). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4277318
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
Peng, C., Hajiseyedjavadi, F., & Merat, N. A. (2022). A comparison of two methodologies for subjective evaluation of comfort in automated vehicles. https://www.researchgate.net/profile/Chen-Peng-39/publication/360342948_A_comparison_of_two_methodologies_for_subjective_evaluation_of_comfort_in_automated_vehicles
Tabone, W., Happee, R., Garcia, J., Lee, Y. M., Lupetti, M. C., Merat, N., & De Winter, J. C. F. (2022). Augmented reality interfaces for pedestrian-vehicle interactions: An online study.
Project Deliverables
- Figalova, N., He, X., Zhang, C., Jokhio, S. (2023). Perceived Safety and Predictability of Human/AV Interactions. (Deliverable D1.2 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D1.2
- Mbelekani, N., Yue, Y. (2023). Long-Term Behavioural Adaptation and Learning Curve of Humans Interacting with AVs. (Deliverable D1.3 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D1.3
- Figalova, N., Mbelekani, N.Y., Yang, Y., Cheng, Y.C., Tabone, W., Kalantari, A.H., Mohammadi, A., Yang, X. (2023). An extension of the human-factors methodological toolbox for human-AV interaction design research. (Deliverable D1.4 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D1.4
- Markkula, G., He, X., Jokhio, S., Kalantari, A. H., Mohammadi, A., Zhang, C. (2023). Behavioural models explaining and predicting transparent negotiations between AVs and human road users. (Deliverable D2.2 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D2.2
- Dozza, M., Mohammadi, A., Yang, X., Zhang, C., He, X., Kalantari, A.H., Jokhio, S., Bärgman, J. (2023). Data and data collection methodologies for the development of computational models of AV/VRU interaction and their integration into virtual simulation testing of AV. (Deliverable D2.3 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D2.3
- Berger, C., Zhang, C., Muhammad, A.P., Knauss, E. (2023). The use of AI in AV human-factors research and human-factors requirements in AI-based AV design. (Deliverable D2.4 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D2.4
- De Winter, J. C. F., Berge, S. H., Tabone, W., Yang, Y., Muhammad, A. P., Jokhio, S., & Hagenzieker, M. P. (2023). Design strategies and prototype HMI designs for pedestrians, cyclists, and non-automated cars. (Deliverable D2.5 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D2.5
- Merat, N., Lee, Y. M., Peng, C., Figalova, N., Mbelekani, N., Pir Muhammed, A., Liu, Y-C., He, X., & Yang, X. (2023). Design Guidelines for Acceptable, Transparent and Safe AVs in Urban Environments. (Deliverable D2.6 in the EC ITN project SHAPE-IT). SHAPE-IT Consortium. DOI: http://doi.org/10.17196/shape-it/2023/D2.6
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
