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Auflistung nach Autor:in "Sedlmair, Michael"

1 - 6 von 6
  • Konferenzbeitrag
    Don't Catch It! - An Interactive Virtual-Reality Environment to Learn About COVID-19 Measures Using Gamification Elements.
    (Mensch und Computer 2021 - Tagungsband, 2021) Krauter, Christian; Vogelsang, Jonas; Calepso, Aimée Sousa; Angerbauer, Katrin; Sedlmair, Michael
    The world is still under the influence of the COVID-19 pandemic. Even though vaccines are deployed as rapidly as possible, it is still necessary to use other measures to reduce the spread of the virus. Measures such as social distancing or wearing a mask receive a lot of criticism. Therefore, we want to demonstrate a serious game to help the players understand these measures better and show them why they are still necessary. The player of the game has to avoid other agents to keep their risk of a COVID-19 infection low. The game uses Virtual Reality through a Head-Mounted-Display to deliver an immersive and enjoyable experience. Gamification elements are used to engage the user with the game while they explore various environments. We also implemented visualizations that help the user with social distancing.
  • Konferenzbeitrag
    HiveFive360: Extending the VR Gaze Guidance Technique HiveFive to Highlight Out-Of-FOV Targets
    (Proceedings of Mensch und Computer 2024, 2024) Kergaßner, Sophie; Doerr, Nina; Wieland, Markus; Fuchs, Martin; Sedlmair, Michael
    Modern display technologies, particularly those supporting 360° content, are increasingly used for immersive experiences in a variety of domains. However, information outside of the user’s field of view (FOV) may be easily overlooked. To address this, guiding cues can be provided to effectively direct attention. Subtle and diegetic cues are particularly effective in keeping the coherence and immersion of the presented content. HiveFive is one of the few diegetic highlighting techniques. It effectively highlights objects by attracting the user’s attention with swarm-like motion. However, HiveFive is restricted to in-FOV target highlighting. This work presents the novel technique HiveFive360, an extension of HiveFive that enables it to guide users to out-of-FOV targets. HiveFive360 is evaluated in a user study against FlyingARrow and Subtle Gaze Direction VR regarding completion time, sense of presence and task load. HiveFive360 was found to effectively guide users in various environments without excessive distraction or task load.
  • Konferenzbeitrag
    Human Factors in Information Visualization and Decision Support Systems
    (Mensch und Computer 2016 – Workshopband, 2016) Valdez, André Calero; Brauner, Philipp; Ziefle, Martina; Kuhlen, Torsten Wolfgang; Sedlmair, Michael
    With the increase in data availability and data volume it becomes increasingly important to extract information and actionable knowledge from data. Information Visualization helps the user to understand data by utilizing vision as a relatively parallel input channel to the user’s mind. Decision Support systems on the other hand help users in making information actionable, by suggesting beneficial decisions and presenting them in context. Both fields share a common need for understanding the interface between the computer and the human. This makes human factors research critical for both fields. Understanding limitations of human perception, cognition and action, as well as their variance must be understood to fully leverage information visualization and decision support. This article reflects on research agendas for investigating human factors in the aforementioned fields.
  • Zeitschriftenartikel
    Immersive analytics: An overview
    (it - Information Technology: Vol. 64, No. 4-5, 2022) Klein, Karsten; Sedlmair, Michael; Schreiber, Falk
    Immersive Analytics is concerned with the systematic examination of the benefits and challenges of using immersive environments for data analysis, and the development of corresponding designs that improve the quality and efficiency of the analysis process. While immersive technologies are now broadly available, practical solutions haven’t received broad acceptance in real-world applications outside of several core areas, and proper guidelines on the design of such solutions are still under development. Both fundamental research and applications bring together topics and questions from several fields, and open a wide range of directions regarding underlying theory, evidence from user studies, and practical solutions tailored towards the requirements of application areas. We give an overview on the concepts, topics, research questions, and challenges.
  • Zeitschriftenartikel
    Machine learning meets visualization – Experiences and lessons learned
    (it - Information Technology: Vol. 64, No. 4-5, 2022) Quang Ngo, Quynh; Dennig, Frederik L.; Keim,; Sedlmair, Michael
    In this article, we discuss how Visualization (VIS) with Machine Learning (ML) could mutually benefit from each other. We do so through the lens of our own experience working at this intersection for the last decade. Particularly we focus on describing how VIS supports explaining ML models and aids ML-based Dimensionality Reduction techniques in solving tasks such as parameter space analysis. In the other direction, we discuss approaches showing how ML helps improve VIS, such as applying ML-based automation to improve visualization design. Based on the examples and our own perspective, we describe a number of open research challenges that we frequently encountered in our endeavors to combine ML and VIS.
  • Konferenzbeitrag
    A Virtual Reality Simulator for Timber Fabrication Tasks Using Industrial Robotic Arms.
    (Mensch und Computer 2023 - Tagungsband, 2023) Bossecker, Eric;  Sousa Calepso, Aimée; Kaiser, Benjamin; Verl, Alexander; Sedlmair, Michael
    Virtual Reality (VR) simulators are well known applications for immersive spaces. When it comes to Human-Robot Collaboration(HRC), training and safety are important aspects that can be supported by simulators. In this demo, we propose a workflow between ROS and a VR application that allows the use of real robot programming plans to control the robot's digital twin. We also provide the results of a short evaluation that was done with 6 experts, where they provided insights for future improvement and use cases. Our demo is the first step towards a full integrated system where path planning and fabrication steps can be tested with users without any of the risk and cost that are involved when using real industrial robots.