1338822
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
- Seeing Machines Chair
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
- 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. 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. 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. https://eprints.qut.edu.au/137057
- Oxtoby, J., Schroeter, R., Johnson, D. & Kaye, S. (2019). Using boredom proneness to predict young adults' mobile phone use in the car and risky driving. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 457–468. https://eprints.qut.edu.au/132033
- Gerber, M., Schroeter, R. & Vehns, J. (2019). A video-based automated driving simulator for automotive UI prototyping, UX and behaviour research. Proceedings of the 11th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019, 14–23. https://eprints.qut.edu.au/131546
- 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., Schroeter, R., Foth, M. & Johnson, D. (2017). Designing gamified applications that make safe driving more engaging. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2826–2839. https://eprints.qut.edu.au/102978
- 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/100423
- Schroeter, R. & Steinberger, F. (2016). Pokemon DRIVE: Towards increased situational awareness in semi-automated driving. Proceedings of the 28th Australian Conference on Computer-Human Interaction, 25–29. https://eprints.qut.edu.au/100013
QUT ePrints
For more publications by Ronald, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Committee Role/Editor or Chair of an Academic Conference
- Reference year
- 2019
- Details
- 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
- Committee Role/Editor or Chair of an Academic Conference
- Reference year
- 2019
- Details
- Invited to serve as expert Associate Chair (AC) for the ACM SIGCHI'20 conference in the Subcommittee "User Experience and Usability". CHI is the most prestigious international Human Computer Interaction conference. The AC role is invitation only and critical to the review process, with a high workload that involves reviewing, inviting external reviewers, summarising meta-reviews, facilitating discussion amongst reviewers, encouraging author rebuttals, facilitating reviewer discussions again, making final recommendations, participating in the Program Committee (PC) meeting, and lastly, shepherding borderline papers towards acceptance.
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2019
- Details
- Guest editor of the special issue "Automotive User Interfaces" in Multimodal Technologies and Interaction (ISSN 2414-4088)
- Type
- Committee Role/Editor or Chair of an Academic Conference
- Reference year
- 2018
- Details
- 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
- Committee Role/Editor or Chair of an Academic Conference
- Reference year
- 2018
- Details
- Invited and served as expert Associate Chair (AC) for the ACM SIGCHI'18 conference in the Subcommittee "Understanding People: Theory, Concepts, Methods". CHI is the most prestigious international Human Computer Interaction conference. The AC role is invitation only and critical to the review process, with a high workload that involves reviewing, inviting external reviewers, summarising meta-reviews, facilitating discussion amongst reviewers, encouraging author rebuttals, facilitating reviewer discussions again, making final recommendations, participating in the Program Committee (PC) meeting, and lastly, shepherding borderline papers towards acceptance.
- Type
- Recipient of an Australia Council Grant or Australia Council Fellowship
- Reference year
- 2018
- Details
- CI of successful ARC Discovery grant (DP180103491), project title "Intention-Aware Cooperative Driving Behaviour Model for Automated Vehicles".
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2017
- Details
- 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 honor 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 Honorable Mention)
- Type
- Fellowships
- Reference year
- 2014
- Details
- 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
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2013
- Details
- National iAward Merit Recipient in the 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
- Drive Her Forward: Designing Collaborative Interfaces to Enhance Women User Experience in Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Associate Professor Alessandro Soro - Mentorable Interfaces for Automated Vehicles: Enhancing Collaborative Learning for Older Adults through Augmented Reality
PhD, Associate Supervisor
Other supervisors: Associate Professor Alessandro Soro - Prototyping a Naturalistic Conversational Agent to Mitigate Passive Fatigue in L3 Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Dr Xiaomeng Li, Professor Andry Rakotonirainy - Haptic Interface for Enhancing Non-visual Interaction in Fully Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Associate Professor Rafael Gomez - Aligning Human and Machine Attention for Automated Driving to Enhance Safety and Driver Readiness
PhD, Associate Supervisor
Other supervisors: Professor Sebastien Glaser, Professor Andry Rakotonirainy, Professor Michael Milford - Navigating the Road Ahead: An Assessment Into Augmented Reality (AR) and Smart Voice Agents (SVA) in Infotainment Systems for Police Motorcyclists
PhD, Principal Supervisor
Other supervisors: Associate Professor Rafael Gomez, Professor Andry Rakotonirainy - Previous: A Framework for Human-Interpretable AI in Automated Vehicles: Bridging Machine Learning Decisions with Human ExplanationsRevised: A Model for Generating Human-Centric Explanations for Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Dr Xiaomeng Li, Professor Andry Rakotonirainy, Professor Sebastien Glaser - Designing Dynamic and Multisensory Human-Machine Interface Toward Driver Attention Management in Automated Vehicles
PhD, Principal Supervisor
Other supervisors: Associate Professor Rafael Gomez, Dr Xiaomeng Li, Professor Sebastien Glaser - Enhancing User Explanations through Self-Regulated Learning for Automated Vehicle Driving
PhD, Associate Supervisor
Other supervisors: Professor Andry Rakotonirainy, Dr Xiaomeng Li, 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)
- 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)
- The Embodied Hybrid Space - Designing Social and Digital Interventions to Facilitate Connected Learning in Coworking Spaces (2013)
Supervision topics
The supervisions listed above are only a selection.