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Dr.-Ing. Sebastian Arndt

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Research Field:

Quality

Research Topics:

Neurotechnology

Current Project

PflegeTab

Past Projects

Biography:
Sebastian Arndt is a researcher at the Quality and Usability Lab of the Telekom Innovation Laboratories, TU Berlin. He studied Computer Science at Technische Universität Berlin and received his diploma in 2010. He received his doctoral degree (Dr.-Ing.) in 2015 with the thesis title 'Neural Correlates of Quality During Perception of Audiovisual Stimuli'. His current research focus is on physiological changes during the perception of audiovisual quality. 2012 he was a visiting researcher at MuSAE Lab (Montreal, Canada) in order to work on multimodal neural correlates for synthesized speech.
Address:

Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Telefon:
+49 30 8353 58328
+49 1709147458 E-Mail: sebastian.arndt@telekom.de

Publications

Neurophysiological Experimental Facility for Quality of Experience (QoE) Assessment
Zitatschlüssel	laghari2013c
Autor	Laghari, K. and Gupta, Rishabh and Arndt, Sebastian and Antons, Jan-Niklas and Schleicher, Robert and Möller, Sebastian and Falk, Tiago H.
Buchtitel	2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013)
Seiten	1300–1305
Jahr	2013
ISBN	978-1-4673-5229-1
Workshop	Workshop
Ort	Ghent, Belgium
Adresse	Piscataway, NJ, USA
Monat	may
Notiz	Electronic/online
Verlag	IEEE
Wie herausgegeben	Full
Zusammenfassung	The human brain is the epicenter of every human action, thus neurophysiology will pave the way for understanding human behavior and cognition and their interplay with Quality of Experience (QoE). Recent advances in neurophysiological monitoring tools have allowed useful QoE constructs to be measured in real-time, such as human cognition, attention, emotion, fatigue, perception and task performance. In this paper, we describe a multimodal neurophysiological experimental facility recently implemented for QoE evaluation. A description of the facility and the available equipment is presented. Results of three recent studies are also presented, thus showing that neurophysiological correlates can be obtained for i) natural speech and ii) synthesized speech QoE perception, as well as iii) image preference characterization for multimedia QoE evaluation.