Dr. Nikol Figalova

Forschungsinteressen

Experimentelle Psychologie 

• Semantik des Blickverhaltens in sozialen Interaktionen 

• Soziale Kognition 

• Psychophysiologie und kognitive Neurowissenschaften 

• Neuroergonomie & Human Factors 

• Mensch-Computer-Interaktion 

Forschungsmethodik & Data Science 

• Experimentelles Design 

• Quantitative und Mixed-Methods-Ansätze 

• Psychometrie 

Interdisziplinäre Forschung 

Nutzerzentriertes Design 

Publikationen

2024 

Figalová, N. (2024). From driver to supervisor: Cognitive implications of increasing vehicle automation (Doctoral dissertation, Ulm University). https://doi.org/10.18725/OPARU-53154 

Figalová, N., Bieg, H.-J., Reiser, J. E., Liu, Y.-C., Baumann, M., Chuang, L. L., & Pollatos, O. (2024). From driver to supervisor: Comparing cognitive load and EEG-based attentional resource allocation across automation levels. International Journal of Human-Computer Studies, 182, 103169. https://doi.org/10.1016/j.ijhcs.2023.103169 

2023 

Figalová, N., Pichen, J., Chandrayan, V., Pollatos, O., Chuang, L. L., & Baumann, M. (2023). Manipulating drivers’ mental workload: Neuroergonomic evaluation of the speed regulation n-back task using NASA-TLX and auditory P3a. In Adjunct proceedings of the 15th International conference on automotive user interfaces and interactive vehicular applications (pp. 145–149). Association for Computing Machinery. https://doi.org/10.1145/3581961.3609887 

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). Association for Computing Machinery. https://doi.org/10.1145/3581754.3584133 

Liu, Y.-C., Figalová, N., Baumann, M., & Bengler, K. (2023). Human-machine interface evaluation using EEG in driving simulator. In 2023 IEEE Intelligent Vehicles Symposium (IV) (pp. 1–6). IEEE. https://doi.org/10.1109/IV55152.2023.10186567 

Liu, Y.-C., Figalová, N., Pichen, J., Hock, P., Baumann, M., & Bengler, K. (2023). Workload assessment of human-machine interface: A simulator study with psychophysiological measures. In Human systems engineering and design (IHSED 2023): Future trends and applications (Vol. 112, pp. 546–555). AHFE Open Access. https://doi.org/10.54941/ahfe1004172 

Pichen, J., Figalová, N., & Baumann, M. (2023). Can’t take my eyes off you: Increasing task involvement in cooperative driving with natural habituated interfaces. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1765-1772). IEEE. https://doi.org/10.1109/ITSC57777.2023.10422661 

Pichen, J., Figalová, N., & Baumann, M. (2023). Safe decision or collision? Using natural habituated interfaces to increase traffic safety. In 2023 IEEE Intelligent Vehicles Symposium (IV) (pp. 1–8). IEEE. https://doi.org/10.1109/IV55152.2023.10186568 

2022 

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), Article 73. https://doi.org/10.3390/mti6090073 

Figalová, N., Pichen, J., Chuang, L. L., Baumann, M., & Pollatos, O. (2022). System immersion of a driving simulator affects the oscillatory brain activity. In Neuroergonomics and cognitive engineering (Vol. 42, pp. 113–121). AHFE Open Access. https://doi.org/10.54941/ahfe1001825 

Liu, Y.-C., Figalová, N., & Bengler, K. (2022). Transparency assessment on level 2 automated vehicle HMIs. Information, 13(10), Article 489. https://doi.org/10.3390/info13100489 

Pichen, J., Figalová, N., & Baumann, M. (2022). Should I stay or should I go? Using a cooperative sneak peek interface in highly automated vehicles. In Human factors and systems interaction (Vol. 52, pp. 262–269). AHFE Open Access. https://doi.org/10.54941/ahfe1002164 

2021 

Figalová, N., & Charvát, M. (2021). The perceived stress scale: Reliability and validity study in the Czech Republic. Československá Psychologie, 65(1), 46–59. https://doi.org/10.51561/cspsych.65.1.46 

Figalová, N., Silva, J., & Charvát, M. (2021). Psychometric properties of the perceived stress scale in an adult psychiatric inpatient sample [Preprint]. ResearchGate. https://www.researchgate.net/publication/351553914_Psychometric_Properties_of_the_Perceived_Stress_Scale_in_an_Adult_Psychiatric_Inpatient_Sample