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Alexander Manecke

Lupe [1]

Research Field:

Usability

Research Topics:

  • Connected Home
  • Home automation
  • Smart Meetering
Biography:Alexander Manecke joined Deutsche Telekom Laboratories in 2006 and currently he is working as a research assistant (Wissenschaftlicher Mitarbeiter) at the Quality and Usability Lab of Deutsche Telekom Laboratories, TU-Berlin. He studied computer science at Freie Universität Berlin and has received a diploma in computer science.Address:Quality and Usability LabDeutsche Telekom LaboratoriesTU BerlinWinterfeldstr. 21D-10787 Berlin, Germany
Telefon:
+49 30 8353 58536   E-Mail: alexander.manecke@telekom.de [2]

Publications

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 [3] Link zur Originalpublikation [4] Download Bibtex Eintrag [5]
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