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CORDIS - Risultati della ricerca dell’UE
CORDIS

Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

The use of AI in AV human-factors research and human-factors requirements on AI based AV design (si apre in una nuova finestra)

The use of AI in AV human-factors research and human-factors requirements on AI based AV design.

Behavioural models explaining and predicting transparent negotiations between AVs and human road users (si apre in una nuova finestra)

Behavioural models explaining and predicting transparent negotiations between AVs and human road users.

Long-term behavioural adaptation and learning curve of humans interacting with AVs (si apre in una nuova finestra)
An extension of the human-factors methodological toolbox for human-AV interaction design research (si apre in una nuova finestra)
An overview of current AV interface strategies (inside/outside) (si apre in una nuova finestra)

Report presenting an overview of current AV interface strategies insideoutside

Design strategies and prototype HMI designs for cyclists, pedestrians and (non-automated) cars (si apre in una nuova finestra)

Design strategies and prototype HMI designs for cyclists, pedestrians and (non-automated) cars.

Computational models of AV/VRU interaction for virtual simulation testing of AVs (si apre in una nuova finestra)

Computational models of AV/VRU interaction for virtual simulation testing of AVs.

Methodological framework for the modelling and empirical approaches (si apre in una nuova finestra)
Perceived safety and predictability of human/AV interactions (si apre in una nuova finestra)
Design recommendations for acceptable, transparent and safe AVs in urban environments (si apre in una nuova finestra)

Design recommendations for acceptable, transparent and safe AVs in urban environments.

Final event (si apre in una nuova finestra)

In month 47, a final event will be organized to present the results of the project to allstakeholders. This event will target both academics and other stakeholders and provide an overview of each ESR’s research findings. In addition, a symposium, headed by an expert panel, will be held to discuss the relevance of different methodologiesfor addressing the role of driver behaviour in vehicle crashes. The added benefit of the research’s ability to increase knowledge in this area will be highlighted, and its relevance to industry and policy will be emphasised. The final product of this event willbe a special-issue journal publication, which will include a scientific paper from each ESR.

Host a special session at a high-quality peer-review scientific conference (si apre in una nuova finestra)

A special session at a major international conference (with peer-review procedures) will be organized around month 30 of the programme, where the intermediate resultsfrom each ESR’s project will be presented to an academic and scientific audience.

Stakeholder event (si apre in una nuova finestra)

The intermediate results of the research programme will be disseminated toan audience of policymakers and industrial stakeholders at a specific event. This event will include not only presentations from all ESRs, but also a one-day workshop. The event and workshop will add value to the ESR’s research project by guiding theresearch direction during the finalization of the project, and providing opportunities for added impact.

Pubblicazioni

Using ChatGPT for Human–Computer Interaction Research: A Primer (si apre in una nuova finestra)

Autori: Tabone,W., & De Winter J. C. F.
Pubblicato in: Royal Society Open Science, Numero Volume 10, issue 9, 2023, ISSN 2054-5703
Editore: Royal Society Open Science
DOI: 10.1098/rsos.231053

Analysing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning. (si apre in una nuova finestra)

Autori: Zhang, C., & Berger, C.
Pubblicato in: Transportation Research Procedia, Numero Volume 72, 2023, Pagina/e 1653-1660, ISSN 2352-1465
Editore: Science Direct
DOI: 10.1016/j.trpro.2023.11.637

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples. (si apre in una nuova finestra)

Autori: Imberg, H., Yang, X., Flannagan, C., & Bärgman, J. (2024).
Pubblicato in: Technometrics, 2024, Pagina/e 1–23, ISSN 0040-1706
Editore: American Statistical Association
DOI: 10.1080/00401706.2024.2374554

User experience and behavioural adaptation based on repeated usage of vehicle automation: Online survey (si apre in una nuova finestra)

Autori: Mbelekani, N.Y., & Bengler, K.
Pubblicato in: International Journal of Advanced Computer Science and Applications, 2024, ISSN 2156-5570
Editore: SCIENCE & INFORMATION SAI ORGANIZATION LTD
DOI: 10.14569/ijacsa.2024.0150304

Designing user interfaces for partially automated Vehicles: Effects of information and modality on trust and acceptance (si apre in una nuova finestra)

Autori: Kim S, He X, van Egmond R, Happee R.
Pubblicato in: Transportation Research Part F: Traffic Psychology and Behaviour, Numero 103, 2024, Pagina/e 404-419, ISSN 1369-8478
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2024.02.009

Head-locked, world-locked, or conformal diminished-reality? An examination of different AR solutions for pedestrian safety in occluded scenarios. (si apre in una nuova finestra)

Autori: Peereboom, J., Tabone, W., Dodou, D. et al.
Pubblicato in: Virtual Reality, Numero 28, 119, 2024, ISSN 1434-9957
Editore: Virtual Reality
DOI: 10.1007/s10055-024-01017-9

Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data (si apre in una nuova finestra)

Autori: Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman, Fei Yan, Martin Baumann
Pubblicato in: IET Intelligent Transport Systems, Numero 18, 2024, Pagina/e 393-408, ISSN 1751-956X
Editore: Institution of Engineering and Technology
DOI: 10.1049/itr2.12457

Conceptualising user comfort in automated driving: Findings from an expert group workshop (si apre in una nuova finestra)

Autori: Chen Peng, Stefanie Horn, Ruth Madigan, Claus Marberger, John D. Lee, Josef Krems, Matthias Beggiato, Richard Romano, Chongfeng Wei, Ellie Wooldridge, Riender Happee, Marjan Hagenzieker, Natasha Merat
Pubblicato in: Transportation Research Interdisciplinary Perspectives, Numero 24, 2024, Pagina/e 101070, ISSN 2590-1982
Editore: Elsevier
DOI: 10.1016/j.trip.2024.101070

Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload (si apre in una nuova finestra)

Autori: Nikol Figalová, Lewis L. Chuang, Jürgen Pichen, Martin Baumann, Olga Pollatos
Pubblicato in: Multimodal Technologies and Interaction, Numero 6, 2024, Pagina/e 73, ISSN 2414-4088
Editore: MDPI
DOI: 10.3390/mti6090073

Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles (si apre in una nuova finestra)

Autori: Xiaolin He, Jork Stapel, Meng Wang, Riender Happee
Pubblicato in: Transportation Research Part F: Traffic Psychology and Behaviour, Numero 86, 2022, Pagina/e 178-195, ISSN 1369-8478
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2022.02.016

A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD) (si apre in una nuova finestra)

Autori: Xiaolin He, Riender Happee, Meng Wang
Pubblicato in: Transportation Research Part C: Emerging Technologies, Numero 166, 2024, Pagina/e 104751, ISSN 0968-090X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2024.104751

Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction (si apre in una nuova finestra)

Autori: Chi Zhang, Zhongjun Ni, Christian Berger
Pubblicato in: IEEE Transactions on Intelligent Vehicles, 2023, ISSN 2379-8858
Editore: IEEE
DOI: 10.1109/tiv.2023.3285804

Augmented reality interfaces for pedestrian-vehicle interactions: An online study. (si apre in una nuova finestra)

Autori: Tabone,W., Happee, R., Garcia, J., Lee, Y. M., Lupetti, M. C., Merat, N., & De Winter, J. C. F.
Pubblicato in: Transportation Research Part F: Traffic Psychology and Behaviour, Numero 94, 2023, Pagina/e 170–189, ISSN 1369-8478
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2023.02.005

Triangulating the future: Developing scenarios of cyclist-automated vehicle interactions from literature, expert perspectives, and survey data (si apre in una nuova finestra)

Autori: Berge, S. H., De Winter, J., Cleij, D., & Hagenzieker, M.
Pubblicato in: Transportation Research Interdisciplinary Perspectives, Numero Volume 23, 2024, ISSN 2590-1982
Editore: Elsevier
DOI: 10.1016/j.trip.2023.100986

Human factors in developing automated vehicles: A requirements engineering perspective (si apre in una nuova finestra)

Autori: Amna Pir Muhammad; Eric Knauss; Jonas Bärgman
Pubblicato in: Journal of Systems and Software (0164-1212) vol.205(2023), Numero 4, 2023, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2023.111810

From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels (si apre in una nuova finestra)

Autori: Nikol Figalová; Hans-Joachim Bieg; Julian Elias Reiser; Yuan-Cheng Liu; Martin Baumann; Lewis Chuang; Olga Pollatos
Pubblicato in: International Journal of Human-Computer Studies, Numero 182, 2024, ISSN 1044-7318
Editore: Lawrence Erlbaum Associates Inc.
DOI: 10.1016/j.ijhcs.2023.103169

Support systems for cyclists in automated traffic: A review and future outlook (si apre in una nuova finestra)

Autori: Siri Hegna Berge, Joost de Winter, Marjan Hagenzieker
Pubblicato in: Applied Ergonomics, 2023, Pagina/e 18p, ISSN 0003-6870
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apergo.2023.104043

Vulnerable road users and the coming wave of automated vehicles: Expert perspectives (si apre in una nuova finestra)

Autori: Wilbert Tabone, Joost de Winter, Claudia Ackermann, Jonas Bärgman, Martin Baumann, Shuchisnigdha Deb, Colleen Emmenegger, Azra Habibovic, Marjan Hagenzieker, P.A. Hancock, Riender Happee, Josef Krems, John D. Lee, Marieke Martens, Natasha Merat, Don Norman, Thomas B. Sheridan, Neville A. Stanton
Pubblicato in: Transportation Research Interdisciplinary Perspectives, Numero 9, 2021, Pagina/e 100293, ISSN 2590-1982
Editore: Science direct
DOI: 10.1016/j.trip.2020.100293

Immersive insights: evaluating augmented reality interfaces for pedestrians in a CAVE-based experiment (si apre in una nuova finestra)

Autori: Wilbert Tabone, Riender Happee, Yue Yang, Ehsan Sadraei, Jorge García de Pedro, Yee Mun Lee, Natasha Merat, Joost de Winter
Pubblicato in: Frontiers in Virtual Reality, Numero 5, 2024, ISSN 2673-4192
Editore: Frontiers in Virtual Reality
DOI: 10.3389/frvir.2024.1353941

The influence of a color themed HMI on trust and take-over performance in automated vehicles (si apre in una nuova finestra)

Autori: El Jouhri, A., El Sharkawy, A., Paksoy, H., Youssif, O., He, X., Kim, S., & Happee, R.
Pubblicato in: Frontiers in Psychology, Numero 14, 2023, ISSN 1664-1078
Editore: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2023.1128285

Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data (si apre in una nuova finestra)

Autori: Sarang Jokhio; Pierluigi Olleja; Jonas Bärgman; Fei Yan; Martin Baumann
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 21/11/2023, 2023, ISSN 1558-0016
Editore: Intelligent transportation systems
DOI: 10.1109/tits.2023.3329690

Drivers’ Evaluation of Different Automated Driving Styles: Is It both Comfortable and Natural? (si apre in una nuova finestra)

Autori: Chen Peng; Natasha Merat; Richard Romano; Foroogh Hajiseyedjavadi; Evangelos Paschalidis; Chongfeng Wei; Vishnu Radhakrishnan; Albert Solernou; Deborah Forster; Ewrin Boer
Pubblicato in: Human Factors, Numero 4, 2022, ISSN 0018-7208
Editore: SAGE Publications
DOI: 10.1177/00187208221113448

Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review (si apre in una nuova finestra)

Autori: Chi Zhang, Christian Berger
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2023, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3281393

How do cyclists interact with motorized vehicles at unsignalized intersections? Modeling cyclists’ yielding behavior using naturalistic data (si apre in una nuova finestra)

Autori: Ali Mohammadi, Giulio Bianchi Piccinini, Marco Dozza
Pubblicato in: Accident Analysis & Prevention, Numero 190, 2023, Pagina/e 107156, ISSN 0001-4575
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2023.107156

Learnability in Automated Driving (LiAD): Concepts for Applying Learnability Engineering (CALE) Based on Long-Term Learning Effects (si apre in una nuova finestra)

Autori: Mbelekani, N. Y., & Bengler, K.
Pubblicato in: Information, Numero 14(10), 2023, Pagina/e 519, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info14100519

Learning Design Strategies for Optimizing User Behaviour Towards Automation: Architecting Quality Interactions from Concept to Prototype (si apre in una nuova finestra)

Autori: Mbelekani, N.Y., & Bengler, K.
Pubblicato in: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2023. Lecture Notes in Computer Science, Numero 14048, 2023, ISSN 1611-3349
Editore: Springer
DOI: 10.1007/978-3-031-35678-0_6

Explaining human interactions on the road by large-scale integration of computational psychological theory (si apre in una nuova finestra)

Autori: Markkula, G., Lin, Y. S., Srinivasan, A. R., Billington, J., Leonetti, M., Kalantari, A. H., Yang, Y., Lee, Y.M., Madigan, R., Merat, N.
Pubblicato in: Proceedings of the National Academy of Sciences nexus, Numero 2 (6), 2023, ISSN 2752-6542
Editore: Oxford University Press
DOI: 10.1093/pnasnexus/pgad163

Do cyclists need HMIs in future automated traffic? An interview study (si apre in una nuova finestra)

Autori: Siri Hegna Berge, Marjan Hagenzieker, Haneen Farrah, Joost de Winter
Pubblicato in: Transportation Research Part F: Traffic Psychology and Behaviour, Numero 83, 2022, Pagina/e 33-52, 20 p., ISSN 1369-8478
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2021.11.013

Understanding the interaction between cyclists and motorized vehicles at unsignalized intersections: Results from a cycling simulator study (si apre in una nuova finestra)

Autori: Mohammadi, A., Dozza, M, Piccinini, G.
Pubblicato in: Journal of Safety Research, 2024, ISSN 0022-4375
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.jsr.2024.05.007

Evaluation of comfort zone boundary based automated emergency braking algorithms for car‐to‐powered‐two‐wheeler crashes in China (si apre in una nuova finestra)

Autori: Xiaomi Yang, Nils Lubbe, Jonas Bärgman
Pubblicato in: IET Intelligent Transport Systems, 2024, ISSN 1751-956X
Editore: Institution of Engineering and Technology
DOI: 10.1049/itr2.12532

Who goes first? a distributed simulator study of vehicle–pedestrian interaction (si apre in una nuova finestra)

Autori: Kalantari, A. H., Yang, Y., de Pedro, J. G., Lee, Y. M., Horrobin, A., Solernou, A., Holmes, C., Merat, N., Markkula, G.
Pubblicato in: Accident Analysis & Prevention,, Numero 186, 2023, ISSN 0001-4575
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2023.107050

Automation-induced efficiency and inefficiency: transformative views from air and ground vehicle industry experts (si apre in una nuova finestra)

Autori: Mbelekani, N.Y. & Bengler, K.
Pubblicato in: Transportation Research Procedia, Numero 72, 2022, Pagina/e 1349-1356, ISSN 2352-1465
Editore: Elsevier
DOI: 10.1016/j.trpro.2023.11.597

Influence of surrounding traffic on lane change dynamics: Insights from a video-based laboratory study (si apre in una nuova finestra)

Autori: Sarang Jokhio, Marco Dürr, Jonas Bärgman, Martin Baumann
Pubblicato in: Transportation Research Part F: Traffic Psychology and Behaviour, Numero 105, 2024, Pagina/e 87-98, ISSN 1369-8478
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2024.06.025

Transparency Assessment on Level 2 Automated Vehicle HMIs (si apre in una nuova finestra)

Autori: Yuan-Cheng Liu; Nikol Figalová; Klaus Bengler
Pubblicato in: Information, Numero 13(10), 2022, Pagina/e 489, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info13100489

Interpreting pedestrians' head movements when encountering automated vehicles at a virtual crossroad (si apre in una nuova finestra)

Autori: Yue Yang, Yee Mun Lee, Ruth Madigan, Albert Solernou, Natasha Merat
Pubblicato in: Transportation Research Part F: Traffic Psychology and Behaviour,, Numero 103, 2024, Pagina/e 340-352, ISSN 1369-8478
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2024.04.022

Performance evaluation of surrogate measures of safety with naturalistic driving data (si apre in una nuova finestra)

Autori: Lu, C., He, X., van Lint, H., Tu, H., Happee, R., & Wang, M.
Pubblicato in: Accident Analysis & Prevention, Numero 162, 2021, ISSN 0001-4575
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2021.106403

Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings (si apre in una nuova finestra)

Autori: Chi Zhang, Amir Hossein Kalantari, Yue Yang, Zhongjun Ni, Gustav Markkula, Natasha Merat, Christian Berger
Pubblicato in: 2023 IEEE Symposium on Intelligent Vehicle, 2023, ISBN 979-8-3503-4691-6
Editore: IEEE
DOI: 10.1109/iv55152.2023.10186616

Cyclist support systems for future automated traffic (si apre in una nuova finestra)

Autori: Siri Hegna Berge, Joost de Winter, Marjan Hagenzieker
Pubblicato in: International Cycling Safety Conference (ICSC), 2023, Pagina/e 189-191, 3p, ISBN 979-8-4007-0107-8
Editore: Technische Universität Dresden, “Friedrich List” Faculty of Transport and Traffic Sciences, Institute of Transport Planning and Road Traffic
DOI: 10.25368/2022.478

Balancing Automation: Evaluating the Impacts of Landborne and Airborne Automation in Industry (si apre in una nuova finestra)

Autori: Mbelekani, N. Y., & Bengler, K.
Pubblicato in: III. International Conference on Electrical, Computer and Energy Technologies (ICECET 2023). 16-17 November 2023, Cape Town-South Africa. IEEE, 2023
Editore: IEEE
DOI: 10.1109/icecet58911.2023.10389474

A comparison of two methodologies for subjective evaluation of comfort in automated vehicles (si apre in una nuova finestra)

Autori: Chen Peng, Foroogh Hajiseyedjavadi, and Natasha Merat
Pubblicato in: 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods, Numero May 18-22 2022, 2022, ISBN 978-90-74821-94-0
Editore: www.measuringbehavior.org
DOI: 10.6084/m9.figshare.20066849.v1

Requirement Engineering Challenges for AI-intense Systems Development (si apre in una nuova finestra)

Autori: Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad, Olof Eriksson, Jennifer Linder, Padmini Subbiah, Shameer Kumar Pradhan, Sagar Tungal
Pubblicato in: 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN), 2021, Pagina/e 89-96, ISBN 978-1-6654-4470-5
Editore: IEEE
DOI: 10.1109/wain52551.2021.00020

Continuous Experimentation and Human Factors: An Exploratory Study (si apre in una nuova finestra)

Autori: A. P. Muhammad, E. Knauss, J. Bärgman, and A. Knauss
Pubblicato in: Proceedings of International Conference on Product-Focused Software Process Improvement (PROFES), 2023, Pagina/e 511-526
Editore: Springer
DOI: 10.1007/978-3-031-49266-2_35

Manipulating Drivers’ Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a. (si apre in una nuova finestra)

Autori: Figalová, N., Pichen, J., Chandrayan, V., Pollatos, O., Chuang, L. L., & Baumann, M.
Pubblicato in: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023, Pagina/e 145-149
Editore: ACM
DOI: 10.1145/3581961.3609887

Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track (si apre in una nuova finestra)

Autori: Figalová, N., Bieg, H.-J., Schulz, M., Pichen, J., Baumann, M., Chuang, L. L., & Pollatos, O.
Pubblicato in: 28th International Conference on Intelligent User Interfaces, 2023
Editore: ACM
DOI: 10.1145/3581754.3584133

Understanding the interaction between cyclists and automated vehicles: Results from a cycling simulator study (si apre in una nuova finestra)

Autori: Mohammadi A., Piccinini G., Dozza M.
Pubblicato in: Contributions to the 10th International Cycling Safety Conference 2022 (ICSC2022), 2022
Editore: TU Dresden
DOI: 10.25368/2022.427

Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction (si apre in una nuova finestra)

Autori: Chi Zhang, Christian Berger
Pubblicato in: 2022 8th International Conference on Control, Automation and Robotics (ICCAR), 2022, ISBN 978-1-6654-8116-8
Editore: IEEE, Arxiv
DOI: 10.1109/iccar55106.2022.9782673

Unequally Yoked [Skilled]: Transformative Views on Human-Automation Skilfulness. (si apre in una nuova finestra)

Autori: Mbelekani, N. Y., & Bengler, K.
Pubblicato in: III. International Conference on Electrical, Computer and Energy Technologies (ICECET 2023). 16-17 November 2023, Cape Town-South Africa. IEEE, 2023
Editore: IEEE
DOI: 10.1109/icecet58911.2023.10389238

Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings (si apre in una nuova finestra)

Autori: Chi Zhang, Janis Sprenger, Zhongjun Ni, Christian Berger
Pubblicato in: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Editore: IEEE
DOI: 10.1109/iv55156.2024.10588752

Defining Requirements Strategies in Agile: A Design Science Research Study (si apre in una nuova finestra)

Autori: Muhammad, A. P.; Knauss, E.; Batsaikhan, O.; Haskouri, N. E.; Lin, Y.-C. & Knauss, A.
Pubblicato in: Proceedings of International Conference on Product-Focused Software Process Improvement (Profes),, 2023, Pagina/e 73-89
Editore: Springer
DOI: 10.1007/978-3-031-21388-5_6

User Interfaces for Cyclists in Future Automated Traffic (si apre in una nuova finestra)

Autori: Siri Hegna Berge, Joost de Winter, Marjan Hagenzieker
Pubblicato in: IUI '23 Companion: Companion Proceedings for the 28th International Conference on Intelligent User Interfaces, 2023, Pagina/e 91-94, 3p, ISBN 979-8-4007-0107-8
Editore: ACM
DOI: 10.1145/3581754.3584140

Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes (si apre in una nuova finestra)

Autori: Wilbert Tabone, Yee Mun Lee, Natasha Merat, Riender Happee, Joost de Winter
Pubblicato in: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2021, Pagina/e 209-218, ISBN 9781450380638
Editore: ACM
DOI: 10.1145/3409118.3475149

Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices (si apre in una nuova finestra)

Autori: A. P. Muhammad, E. Knauss, J. Bärgman, and A. Knauss
Pubblicato in: Proceedings of IEEE International Requirements Engineering Conference (RE’23), RE@Next! Track, 2023, Pagina/e 347-352
Editore: IEEE
DOI: 10.1109/re57278.2023.00047

Driver-Pedestrian Interactions at Unsignalized Crossings Are Not in Line With the Nash Equilibrium (si apre in una nuova finestra)

Autori: Amir Hossein Kalantari; Yue Yang; Yee Mun Lee; Natasha Merat; Gustav Markkula
Pubblicato in: IEEE Access, Numero 11, 2023, Pagina/e 110707-110723
Editore: IEEE
DOI: 10.1109/access.2023.3322959

Social-IWSTCNN: A social interaction-weighted spatio-temporal convolutional neural network for pedestrian trajectory prediction in urban traffic scenarios (si apre in una nuova finestra)

Autori: Chi Zhang, Christian Berger, Marco Dozza
Pubblicato in: 2021 IEEE Symposium on Intelligent Vehicle, 2021, ISBN 978-1-7281-5394-0
Editore: IEEE Intelligent Vehicles Symposium (IV)
DOI: 10.1109/iv48863.2021.9575958

A Distributed Simulation Study to Examine Vehicle–Pedestrian Interactions (si apre in una nuova finestra)

Autori: Yang, Y., Kalantari, A. H., Lee, Y. M., Solernou, A., Markkula, G., & Merat, N.
Pubblicato in: 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Adjunct Conference Proceedings, 2023, Pagina/e 327-329, ISBN 9798400701122
Editore: ACM International Conference Proceeding Series
DOI: 10.1145/3581961.3609852

Exploring user comfort in automated driving: A qualitative study with younger and older users using the Wizard-Of-Oz method (si apre in una nuova finestra)

Autori: Peng, C., Öztürk, İ., Nordhoff, S., Madigan, R., Hoogendoorn-Lanser, S., Hagenzieker, M., & Merat, N.
Pubblicato in: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023, Pagina/e 342-345, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3581961.3609853

Systemizing Long-Term Research: Assessing Long-Term Automation Effects and Behaviour Modification (si apre in una nuova finestra)

Autori: Mbelekani, N. Y., & Bengler, K.
Pubblicato in: Tareq Ahram and Waldemar Karwowski (eds) Emerging Technologies and Future of Work. AHFE (2023) International Conference., Numero 117, 2023
Editore: AHFE
DOI: 10.54941/ahfe1004415

Interdisciplinary Industrial Design Strategies for Human-Automation Interaction: Industry Experts’ Perspectives (si apre in una nuova finestra)

Autori: Mbelekani, N.Y. & Bengler, K.
Pubblicato in: Interdisciplinary Practice in Industrial Design, Numero 48, 2022, Pagina/e 132-141, ISBN 978-1-958651-24-7
Editore: AHFE Open Access
DOI: 10.54941/ahfe1002025

Workload Assessment of Human-Machine Interface: A Simulator Study with Psychophysiological Measures (si apre in una nuova finestra)

Autori: Liu, Y. C., Figalová, N., Pichen, J., Hock, P., Baumann, M., & Bengler, K.
Pubblicato in: Human Systems Engineering and Design (IHSED 2023): Future Trends and Applications, Numero 112, 2023
Editore: AHFE Open Access
DOI: 10.54941/ahfe1004172

Phantom braking in automated vehicles: A theoretical outline and cycling simulator demonstration

Autori: Berge, S. H., De Winter, J., Feng, Y., & Hagenzieker, M.
Pubblicato in: 5th International Conference on Applied Human Factors and Ergonomics, Nice, France, 2024
Editore: 5th International Conference on Applied Human Factors and Ergonomics, Nice, France

The road ahead: Advancing interactions between autonomous vehicles, pedestrians, and other road users. (si apre in una nuova finestra)

Autori: Block, A., Joshi, S., Tabone, W., Pandya A., Lee, S., Patil, V., Britten, N., & Schmitt, P.
Pubblicato in: Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, ISBN 979-8-3503-3670-2
Editore: IEEE
DOI: 10.1109/ro-man57019.2023.10309535

Augmented reality for supporting the interaction between pedestrians and automated vehicles: An experimental outdoor study. (si apre in una nuova finestra)

Autori: Aleva, T., Tabone, W., Dudou, D., & De Winter J.C.F.
Pubblicato in: Frontiers in Robotics and AI, Numero 11, 2024
Editore: Frontiers
DOI: 10.3389/frobt.2024.1324060

System immersion of a driving simulator affects the oscillatory brain activity. (si apre in una nuova finestra)

Autori: Figalová, N., Pichen, J., L Chuang, L., Baumann, M., & Pollatos, O.
Pubblicato in: Neuroergonomics and Cognitive Engineering, Numero 42, 2022
Editore: AHFE (2022) International Conference. AHFE Open Access
DOI: 10.54941/ahfe1001825

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