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Dr.-Ing. Jan-Niklas Voigt-Antons


Jan-Niklas Voigt-Antons joined the Telekom Innovation Laboratories as a research scientist in January 2009 and is working there since 2014 as a senior research scientist. He received his diploma in psychology in 2008 from the Technische Universität Darmstadt, Germany, a Doctor-of-Engineering degree in 2014 from the Technische Universität Berlin, Germany and has been doing research at the Quality and Usability Lab at the Technische Universität (TU) Berlin, since. His research interests are in Quality-of-Experience evaluation and its physiological correlates with an emphasis on media transmissions and human-machine-interaction, including neural processing of multimodal interaction. During summer 2012 he was visiting researcher at MuSAE Lab (INRS-EMT), Canada where he examined neural correlates of quality perception for complex speech signals. In spring 2014 he was visiting researcher at the department of psychology of NTNU, Norway where he examined neural correlates of audiovisual asynchrony.

QULab research group: Quality, User Experience, Augmented and Virtual Reality

Research Topics: 

• Multimedia Experience (Usability evaluation methods, Quality-of-Experience evaluation physiological measures)

• Interaction Design (Adaptive software, data mining, sensor and behavioural data)

Current projects:


Measuring of immersive media experience

Exergaming in virtual reality

DemTab - Tabletgestützte ambulante Versorgung von Menschen mit Demenz

VoiceAdapt - Adaptives Sprachtraining für ältere Menschen mit Aphasie

OurPuppet - Pflegeunterstützung mit einer interaktiven Puppe für informell Pflegende

Past projects:

PflegeTab - Technik für mehr Lebensqualität trotz Pflegebedürftigkeit bei Demenz (GKV)

Quality of Mobile Gaming

Bernstein Focus Neurotechnology - Berlin (BFNT - B)


Affective Computing
Study Project Quality & Usability (6/9 CP)


Current thesis offers of our lab can be found here. Please contact me via email if you are interested in doing a thesis supervised by me.


Current job offers of our lab can be found here


+49 30 8353 58 377


Technische Univertistät Berlin
Quality and Usability Lab
Telekom Innovation Laboratories
Ernst-Reuter-Platz 7
10587 Berlin, Germany


You Think it's Hi-fi – Yet Your Brain Might Spot the Difference: An EEG Study on Subconscious Processing of Noisy Audio Signals
Zitatschlüssel antons2010a
Autor Antons, Jan-Niklas and Porbadnigk, Anne K. and Schleicher, Robert and Blankertz, Benjamin and Möller, Sebastian and Curio, Gabriel
Buchtitel Proceedings of KogWis 2010 : 10th Biannual Meeting of the German Society for Cognitive Science
Seiten 81
Jahr 2010
ISBN 978-3-86956-087-8
ISSN 2190-4545
Ort Potsdam, Germany
Adresse Potsdam, Germany
Jahrgang 2
Monat aug
Herausgeber Haack, Johannes and Wiese, Heike and Abraham, Andreas and Chiarcos, Christian
Verlag Universitätsverlag Potsdam
Serie Potsdam Cognitive Science Series
Wie herausgegeben Abstract
Organisation Cognitive Sciences Area of Excellence, University of Potsdam
Zusammenfassung In telecommunication research, subjective listening tests are commonly used to measure the perceived quality of speech stimuli. Disadvantageously, these approaches do not provide information about possible subconscious processes which could prime for slowly growing dissatisfaction with an audio transmission. Here, we propose to analyse brain EEG activations related to stimulus quality. This objective information could be informative particularly for minor degradations of auditory hi-fi stimuli where reports of quality differences are notoriously subjective and variable. Accordingly, we ran an EEG study (N=11) using an auditory oddball paradigm: subjects pressed a button whenever they detected a noise disturbance in a set of naturally spoken vowel /a/ stimuli which either were left unmodified (non-targets) or were modified by adding signal-correlated noise at four intensity levels (targets). Most remarkably, in five subjects we found a striking similarity in the averaged EEG patterns elicited by marginally noisy stimuli (mean noise perception rate 43%) which were either missed (no button press) or consciously recognized (button press). Consequently, we trained a classifier based on shrinkage LDA to distinguish between single-trial EEG patterns of hits (detected targets) and nontargets for a given subject. Notably, these classifiers were found capable to distinguish also between misses and non-targets in the same subject - two events which are seemingly similar at the behavioral level (i.e., no button press). Thus, EEG-based classifiers are able to identify instances where an audio stimulus is labeled 'hi-fi' consciously - neurally, however, its actual noise contamination is nonetheless detected, possibly affecting the long-term contentment with the transmission quality.
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