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TU Berlin

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Dr.-Ing. Jan-Niklas Voigt-Antons

Lupe

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:

DataVR

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)

Teaching:

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

Thesis:

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.

Jobs:

Current job offers of our lab can be found here

Contact:

+49 30 8353 58 377

Address

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

Publications

User Experience of Reading in Virtual Reality - Finding Values for Text Distance, Size and Contrast
Zitatschlüssel kojic2020a
Autor Kojic, Tanja and Ali, Danish and Greinacher, Robert and Möller, Sebastian and Voigt-Antons, Jan-Niklas
Buchtitel 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)
Seiten 1–6
Jahr 2020
Ort Athlone, Ireland
Adresse Piscataway, NJ, USA
Monat may
Notiz Online
Verlag IEEE
Serie QoMEX
Wie herausgegeben Fullpaper
Zusammenfassung Virtual Reality (VR) has an increasing impact on the market in many fields, from education and medicine to engineering and entertainment, by creating different applications that replicate or in the case of augmentation enhance real-life scenarios. Intending to present realistic environments, VR applications are including text that we are surrounded by every day. However, text can only add value to the virtual environment if it is designed and created in such a way that users can comfortably read it. With the aim to explore what values for text parameters users find comfortable while reading in virtual reality, a study was conducted allowing participants to manipulate text parameters such as font size, distance, and contrast. Therefore two different standalone virtual reality devices were used, Oculus Go and Quest, together with three different text samples: Short (2 words), medium (21 words), and long (51 words). Participants had the task of setting text parameters to the best and worst possible value. Additionally, participants were asked to rate their experience of reading in virtual reality. Results report mean values for angular size (the combination of distance and font size) and color contrast depending on the different device used as well as the varying text length, for both tasks. Significant differences were found for values of angular size, depending on the length of the displayed text. However, different device types had no significant influence on text parameters but on the experiences reported using the self-assessment manikin (SAM) scale.
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