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Dr.-Ing. Jan-Niklas Voigt-Antons

Lupe [1]

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 [2], 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 [3]

Measuring of immersive media experience

Exergaming in virtual reality [4]

DemTab - Tabletgestützte ambulante Versorgung von Menschen mit Demenz [5]

VoiceAdapt - Adaptives Sprachtraining für ältere Menschen mit Aphasie [6]

OurPuppet - Pflegeunterstützung mit einer interaktiven Puppe für informell Pflegende [7]

Past projects:

PflegeTab - Technik für mehr Lebensqualität trotz Pflegebedürftigkeit bei Demenz (GKV) [8]

Quality of Mobile Gaming [9]

Bernstein Focus Neurotechnology - Berlin (BFNT - B) [10]

Teaching:

Seminar
Affective Computing [11]
Project
Neuro-Usability [12]
Project
Study Project Quality & Usability (6/9 CP) [13]

Thesis:

Current thesis offers of our lab can be found here [14]. 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 [15]. 

Contact:

+49 30 8353 58 377

jan-niklas.voigt-antons@tu-berlin.de [16]

Address

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

Publications

Characterization of Human Emotions and Preferences for Text-to-Speech Systems Using Multimodal Neuroimaging Methods
Zitatschlüssel rehmanlaghari2014a
Autor Rehman Laghari, Khalil and Gupta, Rishabh and Arndt, Sebastian and Antons, Jan-Niklas and Möller, Sebastian and Falk, Tiago H.
Buchtitel 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)
Jahr 2014
ISBN 978-1-4799-3099-9
Ort Toronto, ON, Canada
Adresse Piscataway, NJ, USA
Monat may
Verlag IEEE
Zusammenfassung Voice user interface and speech quality are normally assessed using subjective user experience testing methods and/or objective instrumental techniques. However, the recent advances in neurophysiological tools allowed useful human behavioral constructs to be measured in real-time, such as human emotion, perception, preferences and task performance. Electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS) are well received neuroimaging tools and they are being used in variety of different domains such as health science, neuromarketing, user experience (UX) research and multimedia quality of experience (QoE) discipline. Therefore, this paper describes the impact of natural and text-to-speech (TTS) signals on a user's affective state (valence and arousal) and their preferences using neuroimaging tools (EEG and fNIRS) and subjective user study. The EEG results showed that the natural and high quality TTS speech generate “positive valence”, that was inferred from a higher EEG asymmetric activation at frontal head region. fNIRS results showed the increased activation at Orbito-Frontal Cortex (OFC) region during decision making in favor of natural and high quality TTS speech signals. But natural and TTS signals have significantly different arousal levels.
Link zur Publikation [17] Link zur Originalpublikation [18] Download Bibtex Eintrag [19]
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