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Nikol Figalová
Nikol Figalová
Research Assistant, Ulm University
Verified email at uni-ulm.de - Homepage
Title
Cited by
Cited by
Year
The perceived stress scale: Reliability and validity study in the Czech Republic
N Figalová, M Charvát
Československá psychologie 65 (1), 46-59, 2021
262021
Ambient light conveying reliability improves drivers’ takeover performance without increasing mental workload
N Figalová, LL Chuang, J Pichen, M Baumann, O Pollatos
Multimodal Technologies and Interaction 6 (9), 73, 2022
82022
Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track
N Figalová, HJ Bieg, M Schulz, J Pichen, M Baumann, LL Chuang, ...
Companion Proceedings of the 28th International Conference on Intelligent …, 2023
62023
System immersion of a driving simulator affects the oscillatory brain activity
N Figalová, J Pichen, LL Chuang, M Baumann, O Pollatos
Neuroergonomics and Cognitive Engineering 42, 113, 2022
22022
Alpha and Theta Power in Repeated Take-over Requests
N Figalová, AL Delp, A Nick, LL Chuang, M Baumann, O Pollatos
Neuroergonomics Conference 2021, 2021
22021
Překlad a psychometrické vlastnosti české verze škály vnímaného stresu
N Figalová
master thesis, Univerzita Palackého v Olomouci, Filozofická fakulta, Olomouc, 2019
22019
From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels
N Figalová, HJ Bieg, JE Reiser, YC Liu, M Baumann, L Chuang, ...
International Journal of Human-Computer Studies 182, 103169, 2024
12024
Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a
N Figalová, J Pichen, V Chandrayan, O Pollatos, LL Chuang, M Baumann
Adjunct Proceedings of the 15th International Conference on Automotive User …, 2023
12023
From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attention Allocation across Automation Levels
N Figalová, HJ Bieg, JE Reiser, YC Liu, M Baumann, L Chuang, ...
arXiv preprint arXiv:2306.08477, 2023
12023
Safe decision or collision? using natural habituated interfaces to increase traffic safety
J Pichen, N Figalová, M Baumann
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
12023
Human-machine interface evaluation using EEG in driving simulator
YC Liu, N Figalova, M Baumann, K Bengler
2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023
12023
Transparency Assessment on Level 2 Automated Vehicle HMIs
YC Liu, N Figalová, K Bengler
Information 13 (10), 489, 2022
12022
Methodological Framework for Modelling and Empirical Approaches (Deliverable D1. 1 in the H2020 MSCA ITN project SHAPE-IT)
N Figalová, S Jokhio, M Nasser, NY Mbelekani, C Zang, Y Yang, C Peng, ...
SHAPE-IT Consortium, 2021
12021
Stres a zdraví v exponované profesi
N Figalová
Nepublikovaná bakalářská práce). Univerzita Palackého v Olomouci, 2016
12016
Can't Take My Eyes off You: Increasing Task Involvement in Cooperative Driving With Natural Habituated Interfaces
J Pichen, N Figalova, M Baumann
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
Design guidelines for acceptable, transparent, and safe AVs in urban environments: Deliverable 2.6 in the EC ITN project SHAPE-IT
N Merat, YM Lee, C Peng, N Figalova, N Mbelekani, AP Muhammad, ...
SHAPE-IT Consortium, 2023
2023
Workload Assessment of Human-Machine Interface: A Simulator Study with Psychophysiological Measures
Y Liu, N Figalová, J Pichen, P Hock, M Baumann, K Bengler
Human Systems Engineering and Design (IHSED 2023): Future Trends and …, 2023
2023
Transparency Assessment on Level 2 Automated Vehicle HMIs. Information 2022, 13, 489
YC Liu, N Figalová, K Bengler
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Should I stay or Should I go? Using a Cooperative Sneak Peek Interface in Highly Automated Vehicles
J Pichen, N Figalová, M Baumann
2022
An Overview of Interfaces for Automated Vehicles (inside/outside)(Deliverable D2. 1 in the H2020 MSCA ITN project SHAPE-IT)
N Merat, Y Yang, YM Lee, SH Berge, N Figalová, S Jokhio, C Peng, ...
SHAPE-IT Consortium, 2021
2021
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