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Mathias Vukelić
Mathias Vukelić
Wissenschaftlicher Mitarbeiter, IAT, Universität Stuttgart/Fraunhofer IAO, Stuttgart
Verified email at iat.uni-stuttgart.de
Title
Cited by
Cited by
Year
Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality
M Vukelić, A Gharabaghi
Neuroimage 111, 1-11, 2015
125*2015
Bridging the gap between motor imagery and motor execution with a brain–robot interface
R Bauer, M Fels, M Vukelić, U Ziemann, A Gharabaghi
Neuroimage 108, 319-327, 2015
992015
Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation
D Brauchle, M Vukelić, R Bauer, A Gharabaghi
Frontiers in human neuroscience 9, 564, 2015
832015
Lateralized alpha-band cortical networks regulate volitional modulation of beta-band sensorimotor oscillations
M Vukelić, R Bauer, G Naros, I Naros, C Braun, A Gharabaghi
Neuroimage 87, 147-153, 2014
672014
How to work in the car of the future? A neuroergonomical study assessing concentration, performance and workload based on subjective, behavioral and neurophysiological insights
K Pollmann, O Stefani, A Bengsch, M Peissner, M Vukelić
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
422019
What is the optimal task difficulty for reinforcement learning of brain self-regulation?
R Bauer, M Vukelić, A Gharabaghi
Clinical neurophysiology 127 (9), 3033-3041, 2016
302016
Different oscillatory entrainment of cortical networks during motor imagery and neurofeedback in right and left handers
M Vukelić, P Belardinelli, R Guggenberger, V Royter, A Gharabaghi
Neuroimage 195, 190-202, 2019
172019
Affective use cases for empathic vehicles in highly automated driving: Results of an expert workshop
M Oehl, K Ihme, AA Pape, M Vukelić, M Braun
HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In …, 2020
162020
fnirs as a method to capture the emotional user experience: A feasibility study
K Pollmann, M Vukelić, N Birbaumer, M Peissner, W Bauer, S Kim
Human-Computer Interaction. Novel User Experiences: 18th International …, 2016
142016
MindTrain: how to train your mind with interactive technologies
RK Kosuru, K Lingelbach, M Bui, M Vukelić
Proceedings of Mensch und Computer 2019, 643-647, 2019
132019
HOMO DIGITALIS–Eine Studie über die Auswirkungen neuer Technologien auf verschiedene Lebensbereiche für eine menschengerechte Digitalisierung der Arbeitswelt
K Pollmann, D Janssen, M Vukelic, N Fronemann
Stuttgart: Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO, 2018
132018
Can We Distinguish Pragmatic from Hedonic User Experience Qualities with Implicit Measures?
K Pollmann, V Sinram, N Fronemann, M Vukelić
Design, User Experience, and Usability: Theory and Practice: 7th …, 2018
102018
A new experimental paradigm for affective research in neuro-adaptive technologies
K Pollmann, D Ziegler, M Peissner, M Vukelić
Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to …, 2017
102017
Emotions in the age of automated driving-developing use cases for empathic cars
M Oehl, K Ihme, E Bosch, AA Pape, M Vukelić, M Braun
Gesellschaft für Informatik eV, 2019
92019
Forschungsprojekt EMOIO: Schnittstelle zur Welt der Computer
W Bauer, M Vukelić
Digitalisierung: Schlüsseltechnologien für Wirtschaft und Gesellschaft, 135-151, 2018
92018
Estimating the modulatory effects of nanoparticles on neuronal circuits using computational upscaling
M Busse, D Stevens, A Kraegeloh, C Cavelius, M Vukelic, E Arzt, ...
International journal of nanomedicine, 3559-3572, 2013
82013
Combining eye tracking and physiology for detection of emotion and workload
AM Brouwer, I Stuldreher, SH Penen, K Lingelbach, M Vukelić
Measuring Behavior 2020-21 Volume, 2020
62020
Toward Brain-Based Interaction Between Humans and Technology: Does Age Matter?
M Vukelić, K Pollmann, M Peissner
Neuroergonomics, 105-109, 2019
62019
Oscillatory neurofeedback networks and poststroke rehabilitative potential in severely impaired stroke patients
K Kern, M Vukelić, R Guggenberger, A Gharabaghi
NeuroImage: Clinical 37, 103289, 2023
52023
Exploring conventional, automated and deep machine learning for electrodermal activity-based drivers’ stress recognition
K Lingelbach, M Bui, F Diederichs, M Vukelić
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
52021
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