Inhalt des Dokuments
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
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)
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 BerlinQuality and Usability Lab
Telekom Innovation Laboratories
Ernst-Reuter-Platz 7
10587 Berlin, Germany
Publications
Zitatschlüssel | uhrig2018b |
---|---|
Autor | Uhrig, Stefan and Michael, Thilo and Möller, Sebastian and Keller, Peter E. and Voigt-Antons, Jan-Niklas |
Buchtitel | 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) |
Seiten | 1–6 |
Jahr | 2018 |
ISBN | 978-1-5386-2605-4 |
DOI | 10.1109/QoMEX.2018.8463293 |
Ort | Cagliari, Italy |
Adresse | Piscataway, NJ, USA |
Monat | may |
Notiz | Online |
Verlag | IEEE |
Serie | QoMEX |
Wie herausgegeben | Fullpaper |
Zusammenfassung | End-to-end delay is an important factor when studying the quality of modern packet-based telephone conversations. Other than most degradations, delay cannot be assessed by listen-only tests and mainly impacts the structure and interactivity of the conversation. Because of this, the modeling of the perceived quality of conversation under delay is dependent on various instrumental as well as human-related influencing factors. Physiological methods in particular might provide additional insights into how human participants are affected by such quality degradations during natural conversations. In the present experiment, a novel dual-electroencephalo-graphy (dual-EEG) method was employed to investigate the effects of delay on 10 pairs of participants engaging in dyadic conversations. In each test session, neurophysiological activity was registered simultaneously in both interlocutors, who interacted in accordance with short conversation test scenarios (SCIs) through an audio network. Meanwhile, delays of different magnitudes (0, 800, 1600 ms) were inserted into the network, which was expected to interfere with the conversation and cause changes in the participants' internal processing and state. Analysis of subjective and behavioral measures shows a decrease in perceived quality and of conversational interactivity with higher levels of delay. Moreover, an initial intra-brain analysis of the recorded dual-EEG data (N = 18) revealed significant modulations in beta and gamma frequency bands by varying delay level. This suggests that attentional load increased with high delay, probably due to less amounts of single talk and focusing more on the adaptation of the own turn-taking behavior. |