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Auflistung nach Autor:in "Meier, Sebastian"

1 - 5 von 5
  • Konferenzbeitrag
    Anforderungsanalyse bei IT-Experten mittels Experience-Sample-Methode
    (Mensch und Computer 2015 – Usability Professionals, 2015) Thom, Andreas; Meier, Sebastian; Heidmann, Prof.Frank
  • Zeitschriftenartikel
    The Individual in the Data — the Aspect of Personal Relevance in Designing Casual Data Visualisations
    (i-com: Vol. 16, No. 3, 2017) Meier, Sebastian; Glinka, Katrin
    Over the last two decades, data visualisation has diffused into the broader realm of mass communication. Before this shift, tools and displays of data-driven geographic- and information visualisation were mostly used in expert contexts. By now, they are also used in casual contexts, for example on newspaper websites, government data portals and many other public outlets. This diversification of the audience poses new challenges within the visualisation community. In this paper we propose personal relevance as one factor to be taken into account when designing casual data visualisations, which are meant for the communication with non-experts. We develop a conceptual model and present a related set of design techniques for interactive web-based visualisations that are aimed at activating personal relevance. We discuss our proposed techniques by applying them to a use case on the visualisation of air pollution in London (UK).
  • Konferenzbeitrag
    Interkulturelle Nutzeranforderungen erheben
    (UP14 - Vorträge, 2014) Thom, Andreas; Heidmann, Frank; Meier, Sebastian
    Die Anforderungsanalyse stellt eine der wichtigsten Säulen im Software-Entwicklungsprozess dar. Sie beschreibt Bedürfnisse, Aufgaben und Kontexte. Wie agieren wir aber als User Requirements Engineers, UX-Professionals oder Interface-Designer wenn wir es mit interkulturellen Nutzergruppen zu tun haben? Welche Methode oder welcher Methodenmix bietet sich hierfür an? Besonders in interkulturellen Projekten stellen sich diese Fragen immer wieder aufs Neue. Hier bedarf es Methoden, die den tatsächlichen Kontext und die realen Bedürfnisse der Benutzer sichtbar machen.. In der Studie möchten wir unsere Erfahrungen beim Einsatz eines neuen Methodenframeworks zur Verwendung, Administration und Analyse von Cultural Probes bei chinesischen und deutschen Nutzern eines touristischen Location-based Services in der Region Berlin-Brandenburg vorstellen.
  • Konferenzbeitrag
    To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration
    (Mensch und Computer 2023 - Tagungsband, 2023) Meier, Sebastian; Glinka, Katrin
    Taxonomy building is a task that requires interpreting and classifying data within a given frame of reference, which comes to play in many areas of application that deal with knowledge and information organization. In this paper, we explore how taxonomy building can be supported with systems that integrate machine learning (ML). However, relying only on black-boxed ML-based systems to automate taxonomy building would sideline the users’ expertise. We propose an approach that allows the user to iteratively take into account multiple model’s outputs as part of their sensemaking process. We implemented our approach in two real-world use cases. The work is positioned in the context of HCI research that investigates the design of ML-based systems with an emphasis on enabling human-AI collaboration.
  • Konferenzbeitrag
    Towards patient-individual blood flow simulations based on PC-MRI measurements
    (INFORMATIK 2011 – Informatik schafft Communities, 2011) Meier, Sebastian; Hennemuth, Anja; Tchipev, Nikola; Harloffy, Andreas; Markl, Michael; Preusserx, Tobias
    Computational haemodynamics based on CT or MRI tomographic scans of individual patient vessel anatomy can be a valuable tool for therapy decision in cardiovascular and cerebrovascular diseases. Current approaches are promising, but still suffer from complex model generation, poor knowledge of haemodynamical parameters and high computational costs. We present a new approach of constructing patient-individual flow models that is based on additional knowledge from 4D PC- MRI data, and on the Lattice- Boltzmann method (LBM) as an alternative flow solver. It potentially allows for easier assembling of models, improved accuracy and faster computations by massive parallelization. In this paper, we verify our method for a stenotic flow phantom by comparison with an established CFD solver, and we test the method in order to simulate systolic flow in a carotid bifurcation. Figure 1 shows a comparison of a stationary LBM simulation of the systolic phase with the 4D PC-MRI flow data. The results show good agreement of the primary flow behavior and the velocity magnitudes.