collaborators

5 papers

cs.HC2024

System Immersion of a Driving Simulator Affects the Oscillatory Brain Activity

Nikol Figalová, Jürgen Pichen, Lewis L. Chuang +2

The technological properties of a system delivering simulation experience are a crucial dimension of immersion. To create a sense of presence and reproduce drivers behaviour as rea…

cs.HC2024

Human-Machine Interface Evaluation Using EEG in Driving Simulator

Y. C. Liu, N. Figalova, M. Baumann +1

Automated vehicles are pictured as the future of transportation, and facilitating safer driving is only one of the many benefits. However, due to the constantly changing role of th…

cs.HC2024

Workload Assessment of Human-Machine Interface: A Simulator Study with Psychophysiological Measures

Yuan-Cheng Liu, Nikol Figalova, Juergen Pichen +3

Human-machine Interface (HMI) is critical for safety during automated driving, as it serves as the only media between the automated system and human users. To enable a transparent…

cs.HC2024

Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track

Nikol Figalová, Hans Joachim Bieg, Michael Schulz +4

Drivers' role changes with increasing automation from the primary driver to a system supervisor. This study investigates how supervising an SAE L2 and L3 automated vehicle (AV) aff…

cs.HC2024

Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a

Nikol Figalová, Jürgen Pichen, Vanchha Chandrayan +3

Manipulating MW in driving simulator studies without the need to introduce a non-driving-related task remains challenging. This study aims to empirically evaluate the modified spee…