TU Berlin

Quality and Usability LabJan-Niklas Voigt-Antons

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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


Using Virtual Reality and Head-Mounted Displays to Increase Performance in Rowing Workouts
Citation key arndt2018a
Author Arndt, Sebastian and Perkis, Andrew and Voigt-Antons, Jan-Niklas
Title of Book Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports
Pages 45–50
Year 2018
ISBN 978-1-4503-5981-8
DOI 10.1145/3265845.3265848
Location Seoul, Republic of Korea
Address New York, NY, USA
Month oct
Note Online
Publisher ACM
Series MMSports'18
How Published Fullpaper
Abstract Technology is advancing rapidly in the domain of virtual reality, as well as in using sensors to gather feedback from our body and the environment we are interacting in. Combining these two technologies gives us the opportunity to create personalized and reactive immersive environments. These environments can be used for training of dangerous situations (e.g. fire, crashes, etc) or to improve skills with less distraction than regular natural environments would offer. The pilot study described in this paper, puts an athlete rowing on a stationary rowing machine into a virtual environment. The virtual reality receives movement data from several sensors of the rowing machine and displays those in the head-mounted display. In addition, metrics on technique are derived from the sensor data as well as physiological data. All this is used to investigate if and to which extend VR improves the technical skills of an athlete, during the complex sport of rowing. Furthermore, athletes are given subjective feedback about their performance comparing the standard rowing workout with the workout using VR. First results indicate improved performance of the workout and an enhanced experience for the athlete in the VR condition.
Link to original publication Download Bibtex entry


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