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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


Dissociating Perceptual Quality Dimensions of Transmitted Speech Using Electroencephalography
Citation key uhrig2018a
Author Uhrig, Stefan and Möller, Sebastian and Voigt-Antons, Jan-Niklas
Title of Book 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)
Pages 1–3
Year 2018
ISBN 978-1-5386-2605-4
DOI 10.1109/QoMEX.2018.8463371
Location Cagliari, Italy
Address Piscataway, NJ, USA
Month may
Note Online
Publisher IEEE
Series QoMEX
How Published Fullpaper
Abstract The present study utilized electroencephalography (EEG) to explore the neuro-electrical correlates of perceptual dimensions underlying speech quality. Specific focus lay on the P300 event-related brain potential (ERP) component to provide indication for internal processes related to attention and stimulus categorization. A high-quality (HQ) recording of a spoken word was impaired on each of three perceptual dimensions at a time, “discontinuity” (F), “noisiness” (N) and “coloration” (C), with F being realized through random erasure of distinct frames in the speech signal parts of the audio file. In an active three-stimulus oddball task, repeated presentations of the HQ stimulus led to the formation of a sensory/perceptual HQ reference, which was interrupted by infrequent occurrences of degraded “oddball” stimuli (F, N, C). Initial analysis of the obtained subjective and electrophysiological data suggested the following conclusions: 1) Participants perceived the three degraded stimuli as clearly impaired, but equal in terms of degradation intensity. Thus, variations in neural responses were assumed to reflect changes in the perceptual dimension along which the speech degradation had been induced. 2) Timing of the evoked P300 corresponded with temporal differences in the impairments, implying a later onset for “discretely” (F) compared to “continuously” (N, C) degraded stimuli after being categorized as task-irrelevant. Hence, P300 peak latency might prove useful to dissociate both classes of speech quality impairments on a neural level of analysis.
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