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

Deliverables

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

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

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
An extension of the human-factors methodological toolbox for human-AV interaction design research
An overview of current AV interface strategies (inside/outside)

Report presenting an overview of current AV interface strategies insideoutside

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

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

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

Methodological framework for the modelling and empirical approaches
Perceived safety and predictability of human/AV interactions
Design recommendations for acceptable, transparent and safe AVs in urban environments

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

Final event

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

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

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.

Publications

Using ChatGPT for Human–Computer Interaction Research: A Primer

Author(s): Tabone,W., & De Winter J. C. F.
Published in: Royal Society Open Science, Issue Volume 10, issue 9, 2023, ISSN 2054-5703
Publisher: Royal Society Open Science
DOI: 10.1098/rsos.231053

Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data

Author(s): Sarang Jokhio; Pierluigi Olleja; Jonas Bärgman; Fei Yan; Martin Baumann
Published in: IET Intelligent Transport Systems, Issue 18, 2024, Page(s) 393-408, ISSN 1751-956X
Publisher: Institution of Engineering and Technology
DOI: 10.1049/itr2.12457

Analysing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning.

Author(s): Zhang, C., & Berger, C.
Published in: Transportation Research Procedia, Issue Volume 72, 2023, Page(s) 1653-1660, ISSN 2352-1465
Publisher: Science Direct
DOI: 10.1016/j.trpro.2023.11.637

Designing user interfaces for partially automated Vehicles: Effects of information and modality on trust and acceptance

Author(s): Kim S, He X, van Egmond R, Happee R.
Published in: Transportation Research Part F: Traffic Psychology and Behaviour, Issue 103, 2024, Page(s) 404-419, ISSN 1369-8478
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2024.02.009

Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload

Author(s): Figalová, Nikol; Chuang, Lewis L.; Pichen, Jürgen; Baumann, Martin; Pollatos, Olga; Riener, Andreas; Jeon (Philart), Myounghoon; Schroeter, Ronald
Published in: Multimodal Technologies and Interaction, Issue vol. 6, issue 9, 2022, Page(s) 73, ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.20944/preprints202208.0346.v1

Head-locked, world-locked, or conformal diminished-reality? An examination of different AR solutions for pedestrian safety in occluded scenarios.

Author(s): Peereboom, J., Tabone, W., Dodou, D. et al.
Published in: Virtual Reality, Issue 28, 119, 2024, ISSN 1434-9957
Publisher: Virtual Reality
DOI: 10.1007/s10055-024-01017-9

Conceptualising user comfort in automated driving: Findings from an expert group workshop

Author(s): Peng, Chen; Horn, Stefanie; Madigan, Ruth; Marberger, Claus; Lee, John D; Krems, Josef F.; Beggiato, Matthias; Romano, Richard; Wei, Chongfeng; Wooldridge, Ellie; Happee, Riender; Hagenzieker, Marjan; Merat, Natasha
Published in: Transportation Research Interdisciplinary Perspectives, Issue 24, 2024, ISSN 2590-1982
Publisher: Elsevier
DOI: 10.1016/j.trip.2024.101070

Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data

Author(s): Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman, Fei Yan, Martin Baumann
Published in: IET Intelligent Transport Systems, Issue 18, 2024, Page(s) 393-408, ISSN 1751-956X
Publisher: Institution of Engineering and Technology
DOI: 10.1049/itr2.12457

Conceptualising user comfort in automated driving: Findings from an expert group workshop

Author(s): 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
Published in: Transportation Research Interdisciplinary Perspectives, Issue 24, 2024, Page(s) 101070, ISSN 2590-1982
Publisher: Elsevier
DOI: 10.1016/j.trip.2024.101070

Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload

Author(s): Nikol Figalová, Lewis L. Chuang, Jürgen Pichen, Martin Baumann, Olga Pollatos
Published in: Multimodal Technologies and Interaction, Issue 6, 2024, Page(s) 73, ISSN 2414-4088
Publisher: MDPI
DOI: 10.3390/mti6090073

Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles

Author(s): Xiaolin He, Jork Stapel, Meng Wang, Riender Happee
Published in: Transportation Research Part F: Traffic Psychology and Behaviour, Issue 86, 2022, Page(s) 178-195, ISSN 1369-8478
Publisher: 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)

Author(s): Xiaolin He, Riender Happee, Meng Wang
Published in: Transportation Research Part C: Emerging Technologies, Issue 166, 2024, Page(s) 104751, ISSN 0968-090X
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2024.104751

Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction

Author(s): Chi Zhang, Zhongjun Ni, Christian Berger
Published in: IEEE Transactions on Intelligent Vehicles, 2023, ISSN 2379-8858
Publisher: IEEE
DOI: 10.1109/tiv.2023.3285804

Augmented reality interfaces for pedestrian-vehicle interactions: An online study.

Author(s): Tabone,W., Happee, R., Garcia, J., Lee, Y. M., Lupetti, M. C., Merat, N., & De Winter, J. C. F.
Published in: Transportation Research Part F: Traffic Psychology and Behaviour, Issue 94, 2023, Page(s) 170–189, ISSN 1369-8478
Publisher: 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

Author(s): Berge, S. H., De Winter, J., Cleij, D., & Hagenzieker, M.
Published in: Transportation Research Interdisciplinary Perspectives, Issue Volume 23, 2024, ISSN 2590-1982
Publisher: Elsevier
DOI: 10.1016/j.trip.2023.100986

Human factors in developing automated vehicles: A requirements engineering perspective

Author(s): Amna Pir Muhammad; Eric Knauss; Jonas Bärgman
Published in: Journal of Systems and Software (0164-1212) vol.205(2023), Issue 4, 2023, ISSN 0164-1212
Publisher: 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

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

How do cyclists interact with motorized vehicles at unsignalized intersections? Modeling cyclists’ yielding behavior using naturalistic data

Author(s): Ali Mohammadi; Giulio Bianchi Piccinini; Marco Dozza
Published in: Accident Analysis and Prevention (0001-4575) vol.190(2023), Issue 23, 2023, ISSN 0001-4575
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2023.107156

Support systems for cyclists in automated traffic: A review and future outlook

Author(s): Siri Hegna Berge, Joost de Winter, Marjan Hagenzieker
Published in: Applied Ergonomics, 2023, Page(s) 18p, ISSN 0003-6870
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.apergo.2023.104043

Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles

Author(s): He, X. (author); Stapel, J.C.J. (author); Wang, M. (author); Happee, R. (author)
Published in: Transportation research part F: traffic psychology and behaviour, Issue 86, 2022, Page(s) 178-195, ISSN 1369-8478
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2022.02.016

Vulnerable road users and the coming wave of automated vehicles: Expert perspectives

Author(s): 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
Published in: Transportation Research Interdisciplinary Perspectives, Issue 9, 2021, Page(s) 100293, ISSN 2590-1982
Publisher: Science direct
DOI: 10.1016/j.trip.2020.100293

Immersive insights: evaluating augmented reality interfaces for pedestrians in a CAVE-based experiment

Author(s): Wilbert Tabone, Riender Happee, Yue Yang, Ehsan Sadraei, Jorge García de Pedro, Yee Mun Lee, Natasha Merat, Joost de Winter
Published in: Frontiers in Virtual Reality, Issue 5, 2024, ISSN 2673-4192
Publisher: 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

Author(s): El Jouhri, A., El Sharkawy, A., Paksoy, H., Youssif, O., He, X., Kim, S., & Happee, R.
Published in: Frontiers in Psychology, Issue 14, 2023, ISSN 1664-1078
Publisher: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2023.1128285

Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data

Author(s): Sarang Jokhio; Pierluigi Olleja; Jonas Bärgman; Fei Yan; Martin Baumann
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 21/11/2023, 2023, ISSN 1558-0016
Publisher: Intelligent transportation systems
DOI: 10.1109/tits.2023.3329690

Drivers’ Evaluation of Different Automated Driving Styles: Is It both Comfortable and Natural?

Author(s): Chen Peng; Natasha Merat; Richard Romano; Foroogh Hajiseyedjavadi; Evangelos Paschalidis; Chongfeng Wei; Vishnu Radhakrishnan; Albert Solernou; Deborah Forster; Ewrin Boer
Published in: Human Factors, Issue 4, 2022, ISSN 0018-7208
Publisher: SAGE Publications
DOI: 10.1177/00187208221113448

Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review

Author(s): Chi Zhang, Christian Berger
Published in: IEEE Transactions on Intelligent Transportation Systems, 2023, ISSN 1524-9050
Publisher: 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

Author(s): Ali Mohammadi, Giulio Bianchi Piccinini, Marco Dozza
Published in: Accident Analysis & Prevention, Issue 190, 2023, Page(s) 107156, ISSN 0001-4575
Publisher: 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

Author(s): Mbelekani, N. Y., & Bengler, K.
Published in: Information, Issue 14(10), 2023, Page(s) 519, ISSN 2078-2489
Publisher: 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

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

Explaining human interactions on the road by large-scale integration of computational psychological theory

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

Do cyclists need HMIs in future automated traffic? An interview study

Author(s): Siri Hegna Berge, Marjan Hagenzieker, Haneen Farrah, Joost de Winter
Published in: Transportation Research Part F: Traffic Psychology and Behaviour, Issue 83, 2022, Page(s) 33-52, 20 p., ISSN 1369-8478
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2021.11.013

Who goes first? a distributed simulator study of vehicle–pedestrian interaction

Author(s): Kalantari, A. H., Yang, Y., de Pedro, J. G., Lee, Y. M., Horrobin, A., Solernou, A., Holmes, C., Merat, N., Markkula, G.
Published in: Accident Analysis & Prevention,, Issue 186, 2023, ISSN 0001-4575
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2023.107050

Automation-induced efficiency and inefficiency: transformative views from air and ground vehicle industry experts

Author(s): Mbelekani, N.Y. & Bengler, K.
Published in: Transportation Research Procedia, Issue 72, 2022, Page(s) 1349-1356, ISSN 2352-1465
Publisher: Elsevier
DOI: 10.1016/j.trpro.2023.11.597

Influence of surrounding traffic on lane change dynamics: Insights from a video-based laboratory study

Author(s): Sarang Jokhio, Marco Dürr, Jonas Bärgman, Martin Baumann
Published in: Transportation Research Part F: Traffic Psychology and Behaviour, Issue 105, 2024, Page(s) 87-98, ISSN 1369-8478
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2024.06.025

Transparency Assessment on Level 2 Automated Vehicle HMIs

Author(s): Yuan-Cheng Liu; Nikol Figalová; Klaus Bengler
Published in: Information, Issue 13(10), 2022, Page(s) 489, ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info13100489

Interpreting pedestrians' head movements when encountering automated vehicles at a virtual crossroad

Author(s): Yue Yang, Yee Mun Lee, Ruth Madigan, Albert Solernou, Natasha Merat
Published in: Transportation Research Part F: Traffic Psychology and Behaviour,, Issue 103, 2024, Page(s) 340-352, ISSN 1369-8478
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2024.04.022

Performance evaluation of surrogate measures of safety with naturalistic driving data

Author(s): Lu, C., He, X., van Lint, H., Tu, H., Happee, R., & Wang, M.
Published in: Accident Analysis & Prevention, Issue 162, 2021, ISSN 0001-4575
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2021.106403

Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings

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

Cyclist support systems for future automated traffic

Author(s): Siri Hegna Berge, Joost de Winter, Marjan Hagenzieker
Published in: International Cycling Safety Conference (ICSC), 2023, Page(s) 189-191, 3p, ISBN 979-8-4007-0107-8
Publisher: 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

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

A comparison of two methodologies for subjective evaluation of comfort in automated vehicles

Author(s): Chen Peng, Foroogh Hajiseyedjavadi, and Natasha Merat
Published in: 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods, Issue May 18-22 2022, 2022, ISBN 978-90-74821-94-0
Publisher: www.measuringbehavior.org
DOI: 10.6084/m9.figshare.20066849.v1

Requirement Engineering Challenges for AI-intense Systems Development

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

Continuous Experimentation and Human Factors: An Exploratory Study

Author(s): A. P. Muhammad, E. Knauss, J. Bärgman, and A. Knauss
Published in: Proceedings of International Conference on Product-Focused Software Process Improvement (PROFES), 2023, Page(s) 511-526
Publisher: 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.

Author(s): Figalová, N., Pichen, J., Chandrayan, V., Pollatos, O., Chuang, L. L., & Baumann, M.
Published in: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023, Page(s) 145-149
Publisher: 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

Author(s): Figalová, N., Bieg, H.-J., Schulz, M., Pichen, J., Baumann, M., Chuang, L. L., & Pollatos, O.
Published in: 28th International Conference on Intelligent User Interfaces, 2023
Publisher: ACM
DOI: 10.1145/3581754.3584133

Human-machine interface evaluation using EEG in driving simulator

Author(s): Liu, Y. C., Figalova, N., Baumann, M., & Bengler, K.
Published in: 2023 IEEE Intelligent Vehicles Symposium, Issue IV, 2023, Page(s) 1-6
Publisher: IEEE
DOI: 10.1109/iv55152.2023.10186567

Understanding the interaction between cyclists and automated vehicles: Results from a cycling simulator study

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

Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction

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

Unequally Yoked [Skilled]: Transformative Views on Human-Automation Skilfulness.

Defining Requirements Strategies in Agile: A Design Science Research Study

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

User Interfaces for Cyclists in Future Automated Traffic

Author(s): Siri Hegna Berge, Joost de Winter, Marjan Hagenzieker
Published in: IUI '23 Companion: Companion Proceedings for the 28th International Conference on Intelligent User Interfaces, 2023, Page(s) 91-94, 3p, ISBN 979-8-4007-0107-8
Publisher: ACM
DOI: 10.1145/3581754.3584140

Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes

Author(s): Wilbert Tabone, Yee Mun Lee, Natasha Merat, Riender Happee, Joost de Winter
Published in: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2021, Page(s) 209-218, ISBN 9781450380638
Publisher: ACM
DOI: 10.1145/3409118.3475149

Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices

Author(s): A. P. Muhammad, E. Knauss, J. Bärgman, and A. Knauss
Published in: Proceedings of IEEE International Requirements Engineering Conference (RE’23), RE@Next! Track, 2023, Page(s) 347-352
Publisher: IEEE
DOI: 10.1109/re57278.2023.00047

Driver-Pedestrian Interactions at Unsignalized Crossings Are Not in Line With the Nash Equilibrium

Author(s): Amir Hossein Kalantari; Yue Yang; Yee Mun Lee; Natasha Merat; Gustav Markkula
Published in: IEEE Access, Issue 11, 2023, Page(s) 110707-110723
Publisher: 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

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

A Distributed Simulation Study to Examine Vehicle–Pedestrian Interactions

Author(s): Yang, Y., Kalantari, A. H., Lee, Y. M., Solernou, A., Markkula, G., & Merat, N.
Published in: 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Adjunct Conference Proceedings, 2023, Page(s) 327-329, ISBN 9798400701122
Publisher: 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

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

Systemizing Long-Term Research: Assessing Long-Term Automation Effects and Behaviour Modification

Author(s): Mbelekani, N. Y., & Bengler, K.
Published in: Tareq Ahram and Waldemar Karwowski (eds) Emerging Technologies and Future of Work. AHFE (2023) International Conference., Issue 117, 2023
Publisher: AHFE
DOI: 10.54941/ahfe1004415

Interdisciplinary Industrial Design Strategies for Human-Automation Interaction: Industry Experts’ Perspectives

Author(s): Mbelekani, N.Y. & Bengler, K.
Published in: Interdisciplinary Practice in Industrial Design, Issue 48, 2022, Page(s) 132-141, ISBN 978-1-958651-24-7
Publisher: AHFE Open Access
DOI: 10.54941/ahfe1002025

Workload Assessment of Human-Machine Interface: A Simulator Study with Psychophysiological Measures

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

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

Author(s): Berge, S. H., De Winter, J., Feng, Y., & Hagenzieker, M.
Published in: 5th International Conference on Applied Human Factors and Ergonomics, Nice, France, 2024
Publisher: 5th International Conference on Applied Human Factors and Ergonomics, Nice, France

The road ahead: Advancing interactions between autonomous vehicles, pedestrians, and other road users.

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

Augmented reality for supporting the interaction between pedestrians and automated vehicles: An experimental outdoor study.

Author(s): Aleva, T., Tabone, W., Dudou, D., & De Winter J.C.F.
Published in: Frontiers in Robotics and AI, Issue 11, 2024
Publisher: Frontiers
DOI: 10.3389/frobt.2024.1324060

System immersion of a driving simulator affects the oscillatory brain activity.

Author(s): Figalová, N., Pichen, J., L Chuang, L., Baumann, M., & Pollatos, O.
Published in: Neuroergonomics and Cognitive Engineering, Issue 42, 2022
Publisher: AHFE (2022) International Conference. AHFE Open Access
DOI: 10.54941/ahfe1001825

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