S
Sebastian Möller
Researcher at Technical University of Berlin
Publications - 531
Citations - 7103
Sebastian Möller is an academic researcher from Technical University of Berlin. The author has contributed to research in topics: Quality (business) & Quality of experience. The author has an hindex of 34, co-authored 491 publications receiving 5830 citations. Previous affiliations of Sebastian Möller include German Research Centre for Artificial Intelligence & University of Oslo.
Papers
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Proceedings ArticleDOI
Subjective quality of webpage loading: The impact of delayed and missing elements on quality ratings and task completion time
TL;DR: This paper presents the first empirical user study assessing the impact of failed to load elements in comparison to the delayed loading of webpages, and shows that established Web-QoE prediction models can be improved by also accounting for load failures.
Proceedings ArticleDOI
Mobisense testbed: merging user perception and network performance
Pablo Vidales,Frank Steuer,Niklas Kirschnick,Marcel Wältermann,Blazej Lewcio,Sebastian Möller +5 more
TL;DR: A testbed specially built to investigate the user perception of mobility in NGNs, using the Mobisense setting, which allows the migration of VoIP calls across heterogeneous wireless networks, and simulation of user mobility patterns while roaming between networks.
Journal ArticleDOI
Questionnaires embedded in virtual environments: reliability and positioning of rating scales in virtual environments
Georg Regal,Jan-Niklas Voigt-Antons,Steven Schmidt,Johann Schrammel,Tanja Kojic,Manfred Tscheligi,Sebastian Möller +6 more
TL;DR: In this paper, the authors investigated whether a rating performed in a virtual environment is comparable to a rating obtained via a paper questionnaire and how questionnaires for assessing virtual experiences should be designed and integrated into the virtual environment.
Proceedings ArticleDOI
What makes this voice sound so bad? A multidimensional analysis of state-of-the-art text-to-speech systems
TL;DR: Three dimensions can be assigned to naturalness of voice, temporal distortions and calmness in text-to-speech systems and will be used in the future to build a dimension-based quality predictor for synthetic speech.
Proceedings ArticleDOI
Analysis of Communication Failures for Spoken Dialogue Systems
TL;DR: The new classification scheme of communication failures and their consequences shows that the failure classification may uncover the causes of interaction problems between user and system, irrespective of system complexity, and that failure consequences can serve as a predictor of user satisfaction.