Project description and objectives
Until fully autonomous vehicles are available, humans remain involved in operating partially (SAE L2) and conditionally (SAE L3) automated systems. Nevertheless, with increasing automation, the driver’s role progressively changes from a primary operator to a system supervisor. The new role of the driver can lead to mental underload, passive fatigue, and mind-wandering. As a result, drivers tend to misuse or abuse automation – they sometimes do not behave as they should when operating an automated vehicle (AV). This can be safety-critical because drivers of L2 and L3 AVs remain responsible for the vehicle and its safety.
To optimise the driver-vehicle interaction, we need user-centred systems that dynamically adapt to the driver’s current state. It is essential to comprehend how drivers experience operating an AV and how it differs from manual driving to design safe, comfortable, and desirable automated systems. By using neuroimaging methods to explore the cognitive processes underlying driver-vehicle interaction, we will obtain insights into the neural mechanisms of driver behaviour. These insights can help develop safer and more efficient driving systems.
This project aims to understand the cognitive mechanisms underlying driver-vehicle interaction better. We will use electroencephalography (EEG) and event-related potentials (ERPs) to explore the driver’s mental workload and attention when interacting with an AV. We will conduct experiments in a driving simulator and real AV on a test track, using self-report and psychophysiological measures of the driver’s state.
Who am I?
|My name is Nikol Figalová. My research interests include human-computer interaction, cognitive psychology, user experience, and neuroergonomics. I studied psychology at Palacky University in Olomouc, Czech Republic. I am experienced in designing and conducting user studies, signal processing, and advanced statistical methods.|
Affiliation & Supervision
Department of Clinical and Health Psychology, Ulm University, Germany
Albert-Einstein-Allee 45, 89081 Ulm
Contact information & Links
- Email: nikol.figalova [at] uni-ulm.de
- Google Scholar
- Ulm University personal web page
- 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(9), 73. https://doi.org/10.3390/mti6090073
- Liu, Y. C., Figalová, N., & Bengler, K. (2022). Transparency Assessment on Level 2 Automated Vehicle HMIs. Information, 13(10), 489. https://doi.org/10.3390/info13100489
- Figalová, N., & Charvát, M. (2021). The perceived stress scale: Reliability and validity study in the Czech Republic. Ceskoslovenska Psychologie, 65(1), 46–59. https://doi.org/10.51561/cspsych.65.1.46
Conference papers and posters
- Figalová, N., Bieg, H. J., Schulz, M., Pichen, J., Baumann, M., Chuang, L. L., & Pollatos, O. (2023). Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track. In Companion Proceedings of the 28th International Conference on Intelligent User Interfaces (pp. 64-67). https://doi.org/10.1145/3581754.3584133
- Figalová, N., Pichen, J., L Chuang, L., Baumann, M., & Pollatos, O. (2022). System immersion of a driving simulator affects the oscillatory brain activity. Neuroergonomics and Cognitive Engineering. https://doi.org/10.54941/ahfe1001825
- Pichen, J., Figalová, N., & Baumann, M. (2022). Should I stay or Should I go? Using a Cooperative Sneak Peek Interface in Highly Automated Vehicles. Human Factors and Systems Interaction. https://doi.org/10.54941/ahfe1002164
- Figalová, N. & Bieg, H. J. (2022). How drivers allocate their attentional resources when operating an automated and manual vehicle: An EEG experiment (poster). Project RUMBA Halbzeitevent, October 21, 2022. Renningen, Germany.
- Pichen, J., Figalová, N., Pollatos, O., & Baumann, M. (2022). Increasing situation awareness through cooperative driving (poster). 7th International conference on traffic and transport psychology. Gothenburg, Sweeden.
- Figalová, N., Delp, A. L., Nick, A., Chuang, L. L., Baumann, M., & Pollatos, O. (2021). Alpha and Theta Power in Repeated Take-over Requests. 3rd Neuroergonomics conference. Munich, Germany. https://neuroergonomicsconference.um.ifi.lmu.de/wp-content/uploads/submissions/197.pdf
- Figalová, N., Pichen, J., Baumann, M., & Pollatos, O. (2022). Using personality traits to predict aggressive driving style. 7th International conference on traffic and transport psychology. Gothenburg, Sweeden.
- Figalová, N., Jokhio, S., Nasser, M., Mbelekani, N. Y., Zang, C., Yang, Y., … & Berge, S. H. (2021). Methodological Framework for Modelling and Empirical Approaches (Deliverable D1. 1 in the H2020 MSCA ITN project SHAPE-IT). https://repository.tudelft.nl/islandora/object/uuid:5a424d04-5ee1-4c33-95f3-947f40d61287
- Merat, N., Yang, Y., Lee, Y. M., Berge, S. H., Figalová, N., Jokhio, S., … & Nasser, M. (2021). An Overview of Interfaces for Automated Vehicles (inside/outside)(Deliverable D2. 1 in the H2020 MSCA ITN project SHAPE-IT). https://repository.tudelft.nl/islandora/object/uuid:8f78a3df-1f60-4746-bf0b-e8d5b4922217