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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

Does Low Quality Audiovisual Content Increase Fatigue of Viewers?
Zitatschlüssel	arndt2013e
Autor	Arndt, Sebastian and Schleicher, Robert and Antons, Jan-Niklas
Buchtitel	Proceedings of the 4th International Workshop on Perceptual Quality of Systems (PQS 2013)
Seiten	79–82
Jahr	2013
Ort	Vienna, Austria
Adresse	Baixas, France
Notiz	Electronic/online
Herausgeber	Schatz, Raimund and Hoßfeld, Tobias
Verlag	ISCA
Serie	PQS
Wie herausgegeben	Full
Zusammenfassung	While most quality studies measure purely the subjectively perceived quality of videos, physiological measurements can give more detailed information about the perception of multimedia consumers. Thus, they provide better information about long-term effects as they are difficult to estimate by purely subjective studies. The current study uses electroencephalography (EEG) to measure effects of fatigue during watching low and high quality videos. Therefore, a usual video was chosen, after partly reducing the bit rate of the video subjects watched it and gave subjective ratings accompanied by measuring EEG.With the obtained data we showed that lower video quality produces higher percentage of alpha waves in the EEG, thus participants got more fatigued. Since these alpha waves are an indicator for the level of fatigue.