direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Dr.-Ing. Sebastian Arndt


Research Field:

  • Quality

Research Topics:
  • Neurotechnology
Current ProjectPast Projects

  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.    

Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
+49 30 8353 58328
+49 1709147458    E-Mail: 


Using Eye-Tracking and Correlates of Brain Activity to Predict Quality Scores
Zitatschlüssel arndt2014d
Autor Arndt, Sebastian and Radun, Jenni and Antons, Jan-Niklas and Möller, Sebastian
Buchtitel 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX)
Seiten 1–6
Jahr 2014
ISBN 978-1-4799-6535-9
DOI 10.1109/QoMEX.2014.6982332
Ort Singapore, Singapore
Adresse Piscataway, NJ, USA
Monat sep
Notiz Online
Verlag IEEE
Serie QoMEX
Wie herausgegeben Full
Zusammenfassung Subjective quality tests give important information about the user's perception on the quality of an audio or video signal. These tests are helpful but usually lack information about the user's cognitive state. This might be crucial when consuming a service, as lower quality services may lead to a less frequent use. Therefore, physiological measures have become more popular in the domain of quality assessment as they give more detailed insights about e.g. fatigue and attention of a person. In the current study we used spatially degraded videos and obtained 1) standard subjective quality judgments, 2) eye movement parameters and 3) brain activity using electroencephalography (EEG). The results indicate more focused attention on the degraded area once participants found that area, as pupil diameter increases and the proportion of alpha activity decreases. On the basis of the data a model is proposed which predicts the quality scores from the obtained physiological measures.
Link zur Publikation Link zur Originalpublikation Download Bibtex Eintrag

Zusatzinformationen / Extras


Schnellnavigation zur Seite über Nummerneingabe