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                "abstract": "<p>In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.</p>",
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                    "EU U-CREATE",
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                "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=VR",
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                "id": "d4314",
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                "drupal_id": 4314,
                "drupal_path": "/research/projects/ACD",
                "name": "Advanced Computational Design",
                "name_de": "Advanced Computational Design",
                "short_title": "ACD",
                "website": "http://acd.tuwien.ac.at",
                "status": "active",
                "short_abstract": null,
                "abstract": "<p><em style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">Research question:</em><span style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\"> The main research question addressed by the SFB </span><strong style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">“</strong><em style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">Advanced Computational Design</em><strong style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">”</strong><span style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\"> is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.&nbsp;</span></p>\n<p><em style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">Wider research context:</em><span style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\"> Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.</span></p>\n<p><em style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">Innovation:</em><span style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\"> We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.</span></p>\n<p><em style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">Approach:</em><span style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\"> The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.</span></p>\n<p><em style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\">Added value:</em><span style=\"background-color:transparent;color:rgb( 0 , 0 , 0 )\"> The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries. </span></p>",
                "start_date": "2020-03-01",
                "end_date": "2028-02-29",
                "leader_id": 193,
                "logo": null,
                "funding_organisations": [],
                "research_areas": [],
                "publications": [
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        "title": "Advanced Computational Design – digitale Methoden für die frühe Entwurfsphase",
        "date": "2022-08-26",
        "abstract": "Advanced Computational Design. The SFB Advanced Computational Design addresses the research question of how to advance design tools and processes through multi- and interdisciplinary basic research. We will develop advanced computational design tools in order to improve design quality and efficiency of processes in architecture and construction. The proposed research is structured in three areas: design methodology (A1), visual and haptic design interaction (A2) and form finding (A3). A1 focuses on the conceptual basis for new digital methods of design based on machine learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form finding will be explored through physical experiments, which will allow for reconsidering model assumptions and constraints, validating the developed algorithmic approaches, and finding new ones.",
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        "title": "Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality",
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        "title": "BIMFlexi-VR: A Virtual Reality Framework for Early-Stage Collaboration in Flexible Industrial Building Design ",
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        "abstract": "In colocated multi-user Virtual Reality applications, relative user positions in the virtual environment need to match their relative positions in the physical tracking space. A mismatch between virtual and real relative user positions might lead to harmful events such as physical user collisions. This paper examines three calibration methods that enable colocated Virtual Reality scenarios for SLAM-tracked head-mounted displays without the need for an external tracking system. Two of these methods—fixed-point calibration and marked-based calibration—have been described in previous research; the third method that uses hand tracking capabilities of head-mounted displays is novel. We evaluated the accuracy of these three methods in an experimental procedure with two colocated Oculus Quest devices. The results of the evaluation show that our novel hand tracking-based calibration method provides better accuracy and consistency while at the same time being easy to execute. The paper further discusses the potential of all evaluated calibration methods. ",
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        "abstract": "Visual information plays an important part in the perception of the world around us. Recently, head-mounted displays (HMD) came to the consumer market and became a part of the everyday life of thousands of people. Like with the desktop screens or hand-held devices before, the public is concerned with the possible health consequences of the prolonged usage and question the adequacy of the default settings. It has been shown that the brightness and contrast of a display should be adjusted to match the external light to decrease eye strain and other symptoms. Currently, there is a noticeable mismatch in brightness between the screen and dark background of an HMD that might cause eye strain, insomnia, and other unpleasant symptoms.\n\nIn this paper, we explore the possibility to significantly lower the screen brightness in the HMD and successfully compensate for the loss of the visual information on a dimmed screen. We designed a user study to explore the connection between the screen brightness HMD and task performance, cybersickness, users’ comfort, and preferences. We have tested three levels of brightness: the default Full Brightness, the optional Night Mode and a significantly lower brightness with original content and compensated content.   Our results suggest that although users still prefer the brighter setting, the HMDs can be successfully used with significantly lower screen brightness, especially if the low screen brightness is compensated",
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