[
    {
        "id": "oda-2025-artevoviewer",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/225534",
        "title": "ArtEvoViewer: A System for Visualizing Interpersonal Influence Among Painters",
        "date": "2025-10-31",
        "abstract": "Large-scale and objective painting analyses have recently gained attention. In particular, analyzing influence between individual painters requires substantial effort and is hard to reproduce due to subjectivity. Despite increasing demand for automatic estimation, this remains unresolved because such influence is complex and often directional, making it difficult to model. In this paper, we develop an interactive system that visualizes, manipulates, and analyses chains of painterly influence as a network. Using 32,401 paintings, the system infers directional links from color and brushstroke features. The resulting network based on color style features captures stylistic lineages such as landscape-focused and portrait-focused streams, while a multifaceted analysis of Picasso shows that Cézanne's impact appears in brushwork rather than color. Our contributions are twofold: (1) the use of an evolutionary model to assign explicit direction to painter influence and support art historical interpretation, and (2) providing a visualization system that allows dynamic comparison of influence networks based on multiple image features.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5544,
            5545,
            1813,
            1850,
            166,
            1410,
            1754
        ],
        "booktitle": "2025 29th International Conference Information Visualisation (IV)",
        "date_from": "2025-08-05",
        "date_to": "2025-08-08",
        "doi": "10.1109/IV68685.2025.00041",
        "event": "29th International Conference Information Visualisation (IV)",
        "isbn": "979-8-3315-7741-4",
        "lecturer": [
            5544
        ],
        "location": "Darmstadt",
        "pages": "6",
        "pages_from": "171",
        "pages_to": "176",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "artist influence estimation",
            "cultural evolution",
            "digital humanities",
            "paintings",
            "system",
            "visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/oda-2025-artevoviewer/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2025-www",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/217489",
        "title": "Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness",
        "date": "2025-10",
        "abstract": "Uncertainty is common to most types of data, from meteorology to the biomedical sciences. Here, we are interested in the visualization of uncertainty within the context of multivariate graphs, specifically the visualization of uncertainty attached to node attributes. Many visual channels offer themselves up for the visualization of node attributes and their uncertainty. One controversial and relatively under-explored channel, however, is animation, despite its conceptual advantages. In this paper, we investigate node “wiggliness”, i.e. uncertainty-dependent pseudo-random motion of nodes, as a potential new visual channel with which to communicate node attribute uncertainty. To study wiggliness’ effectiveness, we compare it against three other visual channels identified from a thorough review of uncertainty visualization literature—namely node enclosure, node fuzziness, and node color saturation. In a larger-scale, mixed method, Prolific-crowd-sourced, online user study of 160 participants, we quantitatively and qualitatively compare these four uncertainty encodings across eight low-level graph analysis tasks that probe participants’ abilities to parse the presented networks both on an attribute and topological level. We ultimately conclude that all four uncertainty encodings appear comparably useful—as opposed to previous findings. Wiggliness may be a suitable and effective visual channel with which to communicate node attribute uncertainty, at least for the kinds of data and tasks considered in our study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1850,
            1813,
            5488,
            5417,
            1464,
            1410
        ],
        "articleno": "104290",
        "doi": "10.1016/j.cag.2025.104290",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "131",
        "research_areas": [],
        "keywords": [
            "Network Visualization",
            "Uncertainty Visualization",
            "Animation",
            "Fuzziness",
            "Enclosure",
            "Saturation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-www/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2025-battlegraphs",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/217464",
        "title": "BattleGraphs: Forge, Fortify, and Fight in the Network Arena",
        "date": "2025",
        "abstract": "Constructive visualization enables users to create personalized data representations and facilitates early insight generation and sensemaking. Based on NODKANT, a toolkit for creating physical network diagrams using 3D printed parts, we define a competitive network physicalization game: BattleGraphs. In BattleGraphs, two players construct networks independently and\ncompete in solving network analysis benchmark tasks. We propose a workshop scenario where we deploy our game, collect strategies for interaction and analysis from our players, and measure the effectiveness of the strategy with the success of the player to discuss in a reflection phase. Printable parts of the game, as well as instructions, are available through the Open Science Framework at -- https://osf.io/x6zv7/ -- All proceedings (including this submission) available on the eurographics digital library: https://diglib.eg.org/collections/d1483cdb-603e-46b6-b315-d9a6e750427e",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1850,
            1813,
            5488,
            5489,
            5417
        ],
        "booktitle": "Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities",
        "date_from": "2025-06-02",
        "date_to": "2025-06-02",
        "doi": "10.2312/visgames.20251161",
        "editor": "Stoiber, C. and Boucher, Magdalena and de Jesus Oliveira, V. A. and Schetinger, Victor and Filipov, Velitchko and Raidou, Renata Georgia and Amabili, L. and Keck, M. and Aigner, Wolfgang",
        "event": "EuroVis 2025 Workshop on Visualization Play, Games, and Activities (VisGames)",
        "lecturer": [
            1850,
            1813,
            5488,
            5489,
            5417
        ],
        "location": "Luxembourg",
        "pages": "5",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Network Visualization",
            "Data Physicalization",
            "Constructivism",
            "Visualization Games"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-battlegraphs/",
        "__class": "Publication"
    },
    {
        "id": "Pahr_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/222160",
        "title": "From Interactions to Integrated Actions: Exploring Active Perception and Inter-Modality in Data Physicalization",
        "date": "2025",
        "abstract": "The growing field of data physicalization holds significant potential for integrating user actionsdirectly into the sense making process through physical artifacts. Two promising factors for physical, as opposed to virtual representations, are physical interaction and multimodal perception. Unmediated interaction in the physical space allows users to manipulate and explore dataphysicalizations in a natural way, harnessing a user’s actions to encode and decode information ina different way than purely virtual representations. In this dissertation, I explore the incorporation of user action as a means of manipulation and perception into data physicalizations, moving from representations where perception only happens after physical interactions, to representations where physical interactions directly stimulate the user’s perception. I investigate four distinct types of user interactions with data physicalizations and show how each of them can support human perception in different ways. Firstly, I show how a modular 3D representation of dynamic data can leverage physical embodiment using natural spatial perception.I demonstrate this by creating a simple interactive physical representation of a space-time-cubemetaphor and investigating it in a case study with a domain expert. Secondly, I investigate the influence of construction — an intuitively physical interaction in the physical space — of apre-defined physical representation on human perception. I show this by designing a networkdata physicalization toolkit and conducting a between-subject study, comparing different ways to instruct a user during construction. Thirdly, I introduce tactile perception of the elastic properties of an object in a multi-modal representation of volume data. I showcase this at the hands of a fabrication pipeline that creates elastic artifacts from volume data using consumer-level 3D printing and validate the method through computational, mechanical, and perceptualstudies. Finally, I explore the benefits of manually operating a physical representation of adynamic process, leveraging the tactile feedback to the user for information encoding. By means of a between-subject user study, I show that integrating a user’s actions into a representation significantly increases engagement.Overall, the results show that even a simple physicalization can highlight the perceptual benefits of physically encoding data by ways of natural perception. Abstract representations have to be learned by users but can be supported by physical interactions, while embodied metaphors profit from direct interactivity if the stimulus fits the sensory capabilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "title,abstract,date,keywords,type_id",
        "repositum_presentation_id": null,
        "authors": [
            1813
        ],
        "ac_number": "AC17729893",
        "co_supervisor": [
            1464
        ],
        "date_end": "2024",
        "date_start": "2021",
        "doi": "10.34726/hss.2025.137817",
        "open_access": "yes",
        "pages": "124",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Data physicalization",
            "Interaction",
            "Embodiment"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pahr_PhD-thesis.pdf",
                "type": "application/pdf",
                "size": 3694895,
                "path": "Publication:Pahr_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/Pahr_PhD-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/Pahr_PhD-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2025-holographs",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/216593",
        "title": "HoloGraphs: An Interactive Physicalization for Dynamic Graphs",
        "date": "2025",
        "abstract": "We present HoloGraphs, a novel approach for physically representing, explaining, exploring, and interacting with dynamic networks. HoloGraphs addresses the challenges of visualizing and understanding evolving network structures by providing an engaging method of interacting and exploring dynamic network structures using physicalization techniques. In contrast to traditional digital interfaces, our approach leverages tangible artifacts made from transparent materials to provide an intuitive way for people with low visualization literacy to explore network data. The process involves printing network embeddings on transparent media and assembling them to create a 3D representation of dynamic networks, maintaining spatial perception and allowing the examination of each timeslice individually. Interactivity is envisioned using optional Focus+Context layers and overlays for node trajectories and labels. Focus layers highlight nodes of interest, context layers provide an overview of the network structure, and global overlays show node trajectories over time. In this paper, we outline the design principles and implementation of HoloGraphs and present how elementary digital interactions can be mapped to physical interactions to manipulate the elements of a network and temporal dimension in an engaging matter. We demonstrate the capabilities of our concept in a case study. Using a dynamic network of character interactions from a popular book series, we showcase how it represents and supports understanding complex concepts such as dynamic networks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "a 3d visualization of a dynamic network, made from transparent projector slides stacked in parallel",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 6000,
            "image_height": 4000,
            "name": "pahr-2025-holographs-teaser.JPG",
            "type": "image/jpeg",
            "size": 5834127,
            "path": "Publication:pahr-2025-holographs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            1850,
            5417
        ],
        "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP,",
        "date_from": "2025-02-26",
        "date_to": "2025-02-28",
        "doi": "10.5220/0013116000003912",
        "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP , GRAPP, HUCAPP and IVAPP 2025)",
        "isbn": "978-989-758-728-3",
        "lecturer": [
            1813
        ],
        "location": "Porto",
        "pages": "8",
        "pages_from": "859",
        "pages_to": "866",
        "volume": "1",
        "research_areas": [],
        "keywords": [
            "Dynamic Networks",
            "Fabrication",
            "Information Visualization",
            "Physicalization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "a 3d visualization of a dynamic network, made from transparent projector slides stacked in parallel",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 6000,
                "image_height": 4000,
                "name": "pahr-2025-holographs-teaser.JPG",
                "type": "image/jpeg",
                "size": 5834127,
                "path": "Publication:pahr-2025-holographs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2025-nodkant",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/216536",
        "title": "NODKANT: exploring constructive network physicalization",
        "date": "2025",
        "abstract": "Physicalizations, which combine perceptual and sensorimotor interactions, offer an immersive way to comprehend complex data visualizations by stimulating active construction and manipulation. This study investigates the impact of personal construction on the comprehension of physicalized networks. We propose a physicalization toolkit—NODKANT—for constructing modular node-link diagrams consisting of a magnetic surface, 3D printable and stackable node labels, and edges of adjustable length. In a mixed-methods between-subject lab study with 27 participants, three groups of people used NODKANT to complete a series of low-level analysis tasks in the context of an animal contact network. The first group was tasked with freely constructing their network using a sorted edge list, the second group received step-by-step instructions to create a predefined layout, and the third group received a pre-constructed representation. While free construction proved on average more time-consuming, we show that users extract more insights from the data during construction and interact with their representation more frequently, compared to those presented with step-by-step instructions. Interestingly, the increased time demand cannot be measured in users' subjective task load. Finally, our findings indicate that participants who constructed their own representations were able to recall more detailed insights after a period of 10–14 days compared to those who were given a pre-constructed network physicalization. All materials, data, code for generating instructions, and 3D printable meshes are available on https://osf.io/tk3g5/.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 536,
            "name": "pahr-2025-nodkant-teaser.jpg",
            "type": "image/jpeg",
            "size": 46516,
            "path": "Publication:pahr-2025-nodkant",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "authors,projects",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            5488,
            1850,
            5417,
            5489,
            1059,
            1464,
            1410
        ],
        "ac_number": "AC17571629",
        "articleno": "e70140",
        "doi": "10.1111/cgf.70140",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "open_access": "yes",
        "pages": "12",
        "publisher": "WILEY",
        "research_areas": [],
        "keywords": [
            "CCS Concepts",
            "Empirical studies in visualization",
            "human-centered computing",
            "Visualization Application Domains"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pahr-2025-nodkant-paper.pdf",
                "type": "application/pdf",
                "size": 15020616,
                "path": "Publication:pahr-2025-nodkant",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper:thumb{{size}}.png"
            },
            {
                "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 536,
                "name": "pahr-2025-nodkant-teaser.jpg",
                "type": "image/jpeg",
                "size": 46516,
                "path": "Publication:pahr-2025-nodkant",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2024-mmm",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/205726",
        "title": "Me! Me! Me! Me! A study and comparison of ego network representations",
        "date": "2024-12",
        "abstract": "From social networks to brain connectivity, ego networks are a simple yet powerful approach to visualizing parts of a larger graph, i.e. those related to a selected focal node — the so-called “ego”. While surveys and comparisons of general graph visualization approaches exist in the literature, we note (i) the many conflicting results of comparisons of adjacency matrices and node-link diagrams, thus motivating further study, as well as (ii) the absence of such systematic comparisons for ego networks specifically. In this paper, we propose the development of empirical recommendations for ego network visualization strategies. First, we survey the literature across application domains and collect examples of network visualizations to identify the most common visual encodings, namely straight-line, radial, and layered node-link diagrams, as well as adjacency matrices. These representations are then applied to a representative, intermediate-sized network and subsequently compared in a large-scale, crowd-sourced user study in a mixed-methods analysis setup to investigate their impact on both user experience and performance. Within the limits of this study, and contrary to previous comparative investigations of adjacency matrices and node-link diagrams (outside of ego networks specifically), participants performed systematically worse when using adjacency matrices than those using node-link diagrammatic representations. Similar to previous comparisons of different node-link diagrams, we do not detect any notable differences in participant performance between the three node-link diagrams. Lastly, our quantitative and qualitative results indicate that participants found adjacency matrices harder to learn, use, and understand than node-link diagrams. We conclude that in terms of both participant experience and performance, a layered node-link diagrammatic representation appears to be the most preferable for ego network visualization purposes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1850,
            1813,
            5417,
            1464,
            1410
        ],
        "articleno": "104123",
        "doi": "10.1016/j.cag.2024.104123",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "open_access": "yes",
        "pages": "15",
        "pages_from": "1",
        "pages_to": "15",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "125",
        "research_areas": [
            "NetVis"
        ],
        "keywords": [
            "Adjacency matrix",
            "Ego network visualization",
            "Layered node-link diagram",
            "Radial node-link diagram",
            "Straight-line node-link diagram",
            "User study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ehlers-2024-mmm-paper.pdf",
                "type": "application/pdf",
                "size": 2475868,
                "path": "Publication:ehlers-2024-mmm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2024-squishicalization",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/208691",
        "title": "Squishicalization: Exploring Elastic Volume Physicalization",
        "date": "2024-12",
        "abstract": "We introduce Squishicalization , a pipeline for generating physicalizations of volumetric data that encode scalar information through their physical characteristics—specifically, by varying their “squishiness” or local elasticity. Data physicalization research is increasingly exploring multisensory information encoding, with a particular focus on enhancing direct interactivity. With Squishicalization , we leverage the tactile dimension of physicalization as a means of direct interactivity. Inspired by conventional volume rendering, we adapt the concept of transfer functions to encode scalar values from volumetric data into local elasticity levels. In this way, volumetric scalar data are transformed into sculptures, where the elasticity represents physical properties such as the material's density distribution within the volume. In our pipeline, scalar values guide the weighted sampling of the scalar field. The sampled data is then processed through Voronoi tessellation to create a sponge-like structure, which can be printed with consumer-grade 3D printers and readily available filament. To validate our pipeline, we conduct a computational and mechanical evaluation, as well as a two-stage perceptual study of the capabilities of our generated squishicalizations. To further investigate potential application scenarios, we interview experts across several domains. Finally, we summarize actionable insights and future avenues for the application of our All supplemental materials are available at https://osf.io/35gnv/?view_only=605e5085061f40439a98545f0c447cf3 .",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2177,
            "image_height": 1639,
            "name": "pahr-2024-squishicalization-teaser.png",
            "type": "image/png",
            "size": 3380920,
            "path": "Publication:pahr-2024-squishicalization",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,open_access",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            5430,
            1464,
            1410
        ],
        "doi": "10.1109/TVCG.2024.3516481",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "open_access": "yes",
        "pages": "14",
        "pages_from": "1",
        "pages_to": "14",
        "publisher": "IEEE COMPUTER SOC",
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [
            "Elasticity",
            "Three Dimensional Printing",
            "Pipelines",
            "Fabrication",
            "Microstructures",
            "Rendering Computer Graphics",
            "Encoding",
            "Printing",
            "Data Physicalization",
            "Data Visualization",
            "Digital Fabrication"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2177,
                "image_height": 1639,
                "name": "pahr-2024-squishicalization-teaser.png",
                "type": "image/png",
                "size": 3380920,
                "path": "Publication:pahr-2024-squishicalization",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2024-ieo",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/199161",
        "title": "Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes",
        "date": "2024-06",
        "abstract": "We conducted a study to systematically investigate the communication of complex dynamic processes along a two-dimensional design space, where the axes represent a representation's manifestation (physical or virtual) and operation (manual or automatic). We exemplify the design space on a model embodying cardiovascular pathologies, represented by a mechanism where a liquid is pumped into a draining vessel, with complications illustrated through modifications to the model. The results of a mixed-methods lab study with 28 participants show that both physical manifestation and manual operation have a strong positive impact on the audience's engagement. The study does not show a measurable knowledge increase with respect to cardiovascular pathologies using manually operated physical representations. However, subjectively, participants report a better understanding of the process—mainly through non-visual cues like haptics, but also auditory cues. The study also indicates an increased task load when interacting with the process, which, however, seems to play a minor role for the participants. Overall, the study shows a clear potential of physicalization for the communication of complex dynamic processes, which only fully unfold if observers have to chance to interact with the process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2634,
            "image_height": 1232,
            "name": "pahr-2024-ieo-teaser.png",
            "type": "image/png",
            "size": 172079,
            "path": "Publication:pahr-2024-ieo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,date_from,date_to,event,lecturer,pages_from,pages_to",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            1850,
            1464,
            1110,
            1410
        ],
        "articleno": "e15106",
        "date_from": "2024-06-27",
        "date_to": "2024-06-31",
        "doi": "10.1111/cgf.15106",
        "event": "EUROVIS",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1813
        ],
        "number": "3",
        "pages": "12",
        "pages_from": "1",
        "pages_to": "12",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [
            "InfoVis",
            "MedVis",
            "Perception"
        ],
        "keywords": [
            "Data Physicalization",
            "Study",
            "Cardiovascular Diseases",
            "Edutainment",
            "Human Computer Interaction (HCI)",
            "Mixed Methods"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2634,
                "image_height": 1232,
                "name": "pahr-2024-ieo-teaser.png",
                "type": "image/png",
                "size": 172079,
                "path": "Publication:pahr-2024-ieo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2021-vologram",
        "type_id": "inproceedings",
        "tu_id": 300436,
        "repositum_id": "20.500.12708/58633",
        "title": "Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization",
        "date": "2021-09",
        "abstract": "Real-world sculptures that display patient imaging data for anatomical education purposes have seen a recent resurgence through the field of data physicalization. In this paper, we describe an automated process for the computer-assisted generation of sculptures that can be employed for anatomical education among the general population. We propose a workflow that supports non-expert users to generate and physically display volumetric medical data in a visually appealing and engaging way. Our approach generates slide-based, interactive sculptures-called volograms-that resemble holograms of underlying medical data. The volograms are made out of affordable and readily available materials (e.g., transparent foils and cardboard) and can be produced through commonly available means. To evaluate the educational value of the proposed approach with our target audience, we assess the volograms, as opposed to classical, on-screen medical visualizations in a user study. The results of our study, while highlighting current weaknesses of our physicalization, also point to interesting future directions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4032,
            "image_height": 3024,
            "name": "pahr-2021-vologram-Image.JPG",
            "type": "image/jpeg",
            "size": 954594,
            "path": "Publication:pahr-2021-vologram",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            1464,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "cfp": {
            "name": "Full, Short & Survey Papers – VCBM 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "446938",
            "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf",
            "ext": "pdf"
        },
        "doi": "10.2312/vcbm.20211341",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "issn": "2070-5786",
        "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "lecturer": [
            1813
        ],
        "pages": "5",
        "pages_from": "19",
        "pages_to": "23",
        "publisher": "Eurographics Association",
        "volume": "VCBM 2021",
        "research_areas": [
            "Fabrication",
            "IllVis",
            "MedVis"
        ],
        "keywords": [
            "Physicalization",
            "Anatomy Education"
        ],
        "weblinks": [
            {
                "href": "https://doi.org/10.2312/vcbm.20211341",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4032,
                "image_height": 3024,
                "name": "pahr-2021-vologram-Image.JPG",
                "type": "image/jpeg",
                "size": 954594,
                "path": "Publication:pahr-2021-vologram",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "pahr-2021-vologram-Video.mp4",
                "type": "video/mp4",
                "size": 138438430,
                "path": "Publication:pahr-2021-vologram",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/",
        "__class": "Publication"
    },
    {
        "id": "Pahr2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16617",
        "title": "Vologram: Educational Craftworks for Volume Physicalization",
        "date": "2020-22-24",
        "abstract": "Long before the onset of computer technology, anatomical sculptures were already used for educational purposes. Digital imaging technology and its incorporation into the clinical workflow through the advancements of medical visualization led to a steady decline in the use of sculpture-based teaching aids. Currently, anatomical volume visualizations are predominantly presented on computer screens. Recent developments in augmented, mixed, and virtual reality o˙er new, exciting ways to digitally display medical imaging data. In recent years, the application of real-world sculptures to display patient imaging data has seen a resurgence through the field of data physicalization. Predominantly, it has been used to enhance the education of medical personnel and laymen through the use of physical models. Expensive 3D printing technology is often employed in the creation of high fidelity anatomical sculptures, with realistic look-and-feel. However, few approaches make use of a˙ordable physicalizations in the field of layman anatomical education.\nIn the course of this thesis di˙erent ways to introduce self-made, custom physical-izations into layman medical education are explored. We propose a suitable concept, the Vologram, to display medical volume data in a visually appealing way for medical non-experts. This takes the form of slide-based sculptures, made out of a˙ordable ma-terials available to the general public with a high degree of interactivity, and can be produced through commonly available means. To support a customizable workflow in the creation of these sculptures, we provide a stand-alone desktop application, which allows layman users to create custom educational sculptures. Real medical imaging data can be filtered and displayed in di˙erent ways, delivering optically diverse results. We evaluate the concept in a small scale study, to determine the e˙ect of interactive medical visualizations as opposed to physicalizations on the target audience. The results of this study point to a great potential for the application of interactive educational concepts for layman anatomical education.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 228,
            "image_height": 213,
            "name": "Pahr2020-Image.JPG",
            "type": "image/jpeg",
            "size": 15174,
            "path": "Publication:Pahr2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1813
        ],
        "co_supervisor": [
            1464
        ],
        "date_end": "2020-11-24",
        "date_start": "2020-01-12",
        "diploma_examina": "2020-11-29",
        "doi": "10.34726/hss.2021.79540",
        "matrikelnr": "0906438",
        "open_access": "yes",
        "pages": "131",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Phyiscalizations",
            "Anatomy Education"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 228,
                "image_height": 213,
                "name": "Pahr2020-Image.JPG",
                "type": "image/jpeg",
                "size": 15174,
                "path": "Publication:Pahr2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Pahr2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 4742026,
                "path": "Publication:Pahr2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Pahr2020-Poster.pdf",
                "type": "application/pdf",
                "size": 4546791,
                "path": "Publication:Pahr2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/",
        "__class": "Publication"
    },
    {
        "id": "walchhofer-tso",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Two Sides of the Same Cube: Towards Immersive Dynamic Viusalization of Migration Data",
        "date": null,
        "abstract": "Migration is a complex global phenomenon, often presented in a highly sensationalized way by the media. The number of people arriving at a country from a specific origin strongly varies over time. In this poster, we describe two different methods to immersively visualize dynamic migration. We utilize discrete time flattening to create a three-dimensional spacetime-cube-like representation in two separate manifestations: i) A physical sculpture made of transparent media and ii) an AR visualization for smartphones. In future work, we seek to compare how our different manifestations of immersive 3D concepts affect users of the general public.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5452,
            5449,
            1813
        ],
        "date_from": "2025-11-02",
        "date_to": "2025-11-07",
        "event": "IEEE VIS 2025",
        "research_areas": [
            "Fabrication",
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "walchhofer-tso-poster.pdf",
                "type": "application/pdf",
                "size": 8166135,
                "path": "Publication:walchhofer-tso",
                "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/walchhofer-tso/walchhofer-tso-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/walchhofer-tso/walchhofer-tso-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/walchhofer-tso/",
        "__class": "Publication"
    }
]
