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Professor Ronald Schroeter
Faculty of Health,
School of Psychology & Counselling
Biography
Professor Ronald Schroeter is a Principal Research Fellow at the Centre for Accident Research and Road Safety – Queensland (CARRS-Q), QUT (Brisbane, Australia). His research focus is the design of innovative driving experiences that make transport by car, bike or any other mobilty device type more fun and safe. This work allows him to embrace multidisciplinary research across HCI/HMI, psychology and road safety. He has led and won six ARC competitive grants in the area of user- and human-centred HMI design in the automotive domain, including a prestigious Discovery Early Career Researcher Award (DECRA), three ARC Discovery Projects, and an ARC Linkage with industry partners where he explores using Augmented Reality to influence driver states. He also led HMI-related activities of iMove project No:1-002 "Cooperative Intelligent Transport Systems (C-ITS) Pilot – Field Operational Test (FOT) and Evaluation", and is the Co-Director of the recently awarded ARC Training Centre for Automated Vehicles in Rural and Remote Regions (AVR3) which is currently being established to operate from 2024-2029. He is serving as Steering Committee Chair of the International ACM SIGCHI Conference on Automotive User Interfaces and Interactive Vehicular Applications (short: Auto-UI).Personal details
Positions
- Professor
Faculty of Health,
School of Psychology & Counselling
Keywords
Human-Computer Interaction, In-Vehicle Information Systems, Interaction Design, Mobile Applications, Road Safety, Ubiquitous Computing, Urban Computing, Urban Informatics, User Experience
Research field
Design, Information systems
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Queensland University of Technology)
Publications
- Cockram, L., Yu, Y., Pardo Gaytan, J., Li, X., Rakotonirainy, A., Kuo, J., Demmel, S., Lenné, M. & Schroeter, R. (2026). Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving. CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, Article 354. https://eprints.qut.edu.au/263229
- Batbold, T., Soro, A. & Schroeter, R. (2025). Older Adult Perspectives on Automated Vehicles: Open Issues and Future Opportunities. Transportation Research Part F: Traffic Psychology and Behaviour, 113, 481–499. https://eprints.qut.edu.au/257343
- Faramarzian Borojeni, M., Pardo Gaytan, J., Mandel, I., Rakotonirainy, A., Ju, W. & Schroeter, R. (2025). Decoding Driver Intention Cues: Exploring Non-verbal Communication for Human-Centered Automotive Interfaces. CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Article 782. https://eprints.qut.edu.au/256220
- Yu, Y., Li, X., Demmel, S., Glaser, S., Kuo, J., Lenné, M. & Schroeter, R. (2025). Designing With Motion: Exploring Vestibular Cues as a Subtle Awareness Nudge Modality in Automated Vehicles. AutomotiveUI '25: Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 242–252. https://eprints.qut.edu.au/258868
- Gerber, M., Schroeter, R., Johnson, D., Janssen, C., Rakotonirainy, A., Kuo, J. & Lenne, M. (2024). An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving. CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, Article 258. https://eprints.qut.edu.au/248964
- Batbold, T., Soro, A. & Schroeter, R. (2024). Mentorable Interfaces for Automated Vehicles: A New Paradigm for Designing Learnable Technology for Older Adults. CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, Article 463. https://eprints.qut.edu.au/248249
- Li, X., Schroeter, R., Rakotonirainy, A., Kuo, J. & Lenne, M. (2020). Effects of different non-driving-related-task display modes on drivers' eye-movement patterns during take-over in an automated vehicle. Transportation Research Part F: Traffic Psychology and Behaviour, 70, 135–148. https://eprints.qut.edu.au/199700
- Gerber, M., Schroeter, R., Li, X. & Elhenawy, M. (2020). Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display. CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Article 622. https://eprints.qut.edu.au/137057
- Steinberger, F., Schroeter, R. & Watling, C. (2017). From road distraction to safe driving: Evaluating the effects of boredom and gamification on driving behaviour, physiological arousal, and subjective experience. Computers in Human Behavior, 75, 714–726. https://eprints.qut.edu.au/108013
- Steinberger, F., Moeller, A. & Schroeter, R. (2016). The antecedents, experience, and coping strategies of driver boredom in young adult males. Journal of Safety Research, 59, 69–82. https://eprints.qut.edu.au/221974
QUT ePrints
For more publications by Ronald, explore their research in QUT ePrints (our digital repository).
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/r.schroeter
Awards
- Type
- Chair/Convenor of Conference Workshop
- Reference year
- 2019
- Details
- ACM AutomotiveUI. Diversity and Inclusion Chair of AutomotiveUI 2019, the ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, which is the premier forum for UI research in the automotive domain. In this newly created role, due my international links, I foster the internationalisation of the AutoUI towards Australasia.
- Type
- Editorial Role
- Reference year
- 2019
- Details
- Multimodal Technologies and Interaction. Guest editor of the special issue "Automotive User Interfaces" in Multimodal Technologies and Interaction (ISSN 2414-4088)
- Type
- Chair/Convenor of Conference Workshop
- Reference year
- 2018
- Details
- ACM AutomotiveUI. Work-In-Progress Chair of AutomotiveUI 2018, the ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, which is the premier forum for UI research in the automotive domain.
- Type
- Funding Award/Project
- Reference year
- 2018
- Details
- Australian Research Council. CI of successful ARC Discovery grant (DP180103491), project title "Intention-Aware Cooperative Driving Behaviour Model for Automated Vehicles".
- Type
- Best Paper/Article/Poster/Presentation
- Reference year
- 2017
- Details
- SIGCHI. CHI 2017 Best Paper Award for our paper "Designing Gamified Applications that Make Safe Driving More Engaging". The SIGCHI conference is the most highly ranked, competitive and prestigious conference in the field of Human Computer Interaction. The SIGCHI "Best of CHI" awards honour exceptional submissions to SIGCHI sponsored conferences. The Best Papers committee selected the top 1% of total submissions. The conference received over 2400 submissions and 24 were chosen for Best paper (97 were chosen for Honourable Mention)
- Type
- Funded Fellowship
- Reference year
- 2014
- Details
- ARC| The ARC DECRA is a prestigious grant valued around $395,000 given by the Australian Research Council to support early career researchers. It is highly competitive, with an average success rate of around 14%.
- Type
- Award or Prize
- Reference year
- 2013
- Details
- iAwards| National iAward Merit Recipient in the Research and Development category: "The merit recipient of the coveted Research & Development iAward was Ronald Schroeter, Urban Informatics Research Lab, QUT, for his PhD project Discussions in Space (DIS) which offers a method of engaging with residents or visitors in public spaces, such as city squares, shopping malls, train or bus stations and museums. It facilitates a public discussion and opinion forum through the installation of a large public screen, which passers-by can directly interact with using their mobile phone's SMS and/or Internet capabilities."
Selected research projects
- Title
- A Human-Centric eXplainable Automated Vehicle
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP220102598
- Start year
- 2022
- Keywords
- Title
- Coach My Ride: Mentorable Interfaces to Support Older Australians' Mobility
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP220100436
- Start year
- 2022
- Keywords
- Title
- Intention-Aware Cooperative Driving Behaviour Model for Automated Vehicles
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP180103491
- Start year
- 2018
- Keywords
- Title
- Engaging Augmented Reality on 3D Head Up Displays to Reduce Risky Driving
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP150100979
- Start year
- 2016
- Keywords
- Title
- Risky Gadgets to the Rescue: Designing Personal Ubicomp Devices to Foster Safer Driving Behaviours in Young Males
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DE140101542
- Start year
- 2014
- Keywords
- In-car technologies; Human-Computer Interaction; Interaction Design
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- A Game Theoretical Approach-Based Gap Acceptance Model to Understand Pedestrian Behaviour and Safety
PhD, Associate Supervisor
Other supervisors: Professor Shimul Haque, Dr Sherrie-Anne Kaye - AI-based Monitoring and Recommendation System for novice Drivers: A Multimodal Large Language Modelling Approach
PhD, Associate Supervisor
Other supervisors: Dr Mohammed Elhenawy, Professor Sebastien Glaser, Professor Andry Rakotonirainy, Dr David Rodwell - Cognitive Underload's Role in why Manual Non-Driving Related Tasks Cause Crashes in Conditionally Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Professor Andry Rakotonirainy, Dr Xiaomeng Li, Professor Sebastien Glaser - Detecting Scenario-Dependent Abnormal Eye Gaze Behaviour in Driving
PhD, Associate Supervisor
Other supervisors: Professor Ashish Bhaskar, Professor Sebastien Glaser, Dr Mohammed Elhenawy - Drive Her Forward: Designing Collaborative Interfaces to Enhance Women User Experience in Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Associate Professor Alessandro Soro - Dual Attention Alignment to Improve Safety and Driver Readiness in Automated Driving
PhD, Associate Supervisor
Other supervisors: Professor Sebastien Glaser, Professor Michael Milford, Professor Andry Rakotonirainy - Exploring Balance-Sensing Interfaces for Driver Attention Management in Automated Vehicles
PhD, Principal Supervisor
Other supervisors: Associate Professor Rafael Gomez, Professor Sebastien Glaser, Dr Xiaomeng Li - Haptic Interface for Enhancing Non-visual Interaction in Fully Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Associate Professor Rafael Gomez - Mentorable Interfaces for Automated Vehicles: Enhancing Collaborative Learning for Older Adults through Augmented Reality
PhD, Associate Supervisor
Other supervisors: Associate Professor Alessandro Soro - Mixed Reality Interfaces and Digital Twin Usage for Trustworthy Human-Machine Interaction in Teleoperation of Automated Vehicles
MPhil, Principal Supervisor
Other supervisors: Professor Sebastien Glaser
Completed supervisions (Doctorate)
- Driving the Intention Cue Motorway: Merging Ethnographic Enquiries and Machine Learning Techniques for Decoding Context-Dependent Intention Awareness in Driving (2024)
- Unravelling the Secret Language of Drivers: A Human-Centric Approach Towards Implicit Communication of Intention (2024)
- Attention management to improve fallback-readiness in conditional automated vehicles (2023)
- Humanising the Smart City: Co-Creation Redefined in Pursuit of Systemic Change (2020)
- Smartphone Apps and Virtual Reality as Road Safety Interventions: Examining Their Real-World Effects for Young Drivers (2020)
- Risky Gadgets to the Rescue - Reframing In-Car Technology Use as Task Engagement (2018)
Supervision topics
- Exploring a vision for Olympic mobility
- Understanding human behaviour during automated driving
- Human-machine interface (HMI) design to manage driver engagement in automated vehicles
- Driver engagement and risk in automated driving: Advanced data analytics leveraging driver monitoring systems
- A Human-centric eXplainable Automated Vehicle
The supervisions listed above are only a selection.