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
Modeling and Understanding the Quality of Experience of Online Mobile Gaming Services
Abstract: Mobile gaming has the largest market shares of all gaming domains, accounting for an estimated $ 77.2 billion in 2020. In recent times, one can witness an increase in highly interactive mobile online games. However, the gaming Quality of Experience (QoE) can be strongly influenced by network degradations, concretely by delay and packet loss. Thus, network providers need to ensure fast and reliable connections between the gaming servers and the users’ clients. To maintain a satisfying user experience, QoE prediction models are fundamental. Aiming at the development of such a model, a detailed parameter space consisting of various delay and packet loss conditions will be investigated in this paper. Here, especially the importance of jitter is of interest. Next, it will be examined whether a recently published opinion model for cloud gaming, the ITU-T Rec. G.1072, can also be used for online mobile gaming. Finally, a new proposal for a model targeting online mobile gaming services will be presented and evaluated concerning its performance.
Proceedings ArticleDOI
Transformation of Mean Opinion Scores to Avoid Misleading of Ranked based Statistical Techniques
Babak Naderi,Sebastian Möller +1 more
TL;DR: In this paper, rank correlation coefficients and the ranked-based statistical tests (as a subset of nonparametric techniques) might be misleading when they are applied to subjectively collected opinion scores.
Posted Content
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
TL;DR: In this article, a self-attention mechanism was used to predict the four speech quality dimensions Noisiness, Coloration, Discontinuity, and Loudness in the NISQA model.
Book ChapterDOI
A user model to predict user satisfaction with spoken dialog systems
TL;DR: The model follows the PSI theory by Dorner and identifies Competence and Certainty as relevant needs in this context and shows that such needs impact the users overall opinion of the system.
Journal ArticleDOI
A tablet-based intervention for activating nursing home residents with dementia: results from a cluster-randomized controlled trial.
Julie Lorraine O'Sullivan,Sonia Lech,Paul Gellert,Ulrike Grittner,Jan-Niklas Voigt-Antons,Sebastian Möller,Adelheid Kuhlmey,Johanna Nordheim +7 more
TL;DR: Although the findings suggest that interventions involving tailored activities have a beneficial impact on global and momentary quality of life in nursing home residents with dementia, tablet computers can support delivery of non-pharmacological interventions in nursing homes and facilitate regular assessments of fluctuating momentary states.