TY - CHAP A1 - Otten, Heike A1 - Hildebrand, Lennart A1 - Nagel, Till A1 - Dörk, Marian A1 - Müller, Boris T1 - Shifted Maps BT - Revealing spatio-temporal topologies in movement data T2 - 2018 IEEE VIS Arts Program N2 - We present a hybrid visualization technique that integrates maps into network visualizations to reveal and analyze diverse topologies in geospatial movement data. With the rise of GPS tracking in various contexts such as smartphones and vehicles there has been a drastic increase in geospatial data being collect for personal reflection and organizational optimization. The generated movement datasets contain both geographical and temporal information, from which rich relational information can be derived. Common map visualizations perform especially well in revealing basic spatial patterns, but pay less attention to more nuanced relational properties. In contrast, network visualizations represent the specific topological structure of a dataset through the visual connections of nodes and their positioning. So far there has been relatively little research on combining these two approaches. Shifted Maps aims to bring maps and network visualizations together as equals. The visualization of places shown as circular map extracts and movements between places shown as edges, can be analyzed in different network arrangements, which reveal spatial and temporal topologies of movement data. We implemented a web-based prototype and report on challenges and opportunities about a novel network layout of places gathered during a qualitative evaluation. KW - Karte KW - GPS KW - Visualisierung KW - Bewegung KW - Daten Y1 - 2018 SN - 978-1-7281-2805-4 U6 - https://doi.org/10.1109/VISAP45312.2018.9046054 SP - 1 EP - 10 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Berlin ER - TY - JOUR A1 - Dörk, Marian A1 - Pietsch, Christopher A1 - Credico, Gabriel T1 - One view is not enough High-level visualizations of a large cultural collection JF - Information Design Journal N2 - As cultural institutions are digitizing their artifacts and interlinking their collections, new opportunities emerge to engage with cultural heritage. However, it is the often comprehensive and complex nature of collections that can make it difficult to grasp their distribution and extent across a variety of dimensions. After a brief introduction to the research area of collection visualizations, this paper presents a design study visualizing an aggregated collection from diverse cultural institutions in Germany. We detail our iterative design process leading to prototypical implementations of four stylistically and functionally coordinated visualizations, each one focusing on different facets of the collection. KW - Visualisierung KW - Sammlung KW - Kulturgut KW - Digital Humanities KW - Visual Analytics Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:525-26609 SN - 1569-979X VL - 23 IS - 1 SP - 39 EP - 47 PB - John Benjamins Publishing CY - Amsterdam ER - TY - CHAP A1 - Kauer, Tobias A1 - Ridley, Arran A1 - Dörk, Marian A1 - Bach, Benjamin T1 - The Public Life of Data BT - Investigating Reactions to Visualizations on Reddit T2 - CHI Conference on Human Factors in Computing Systems (CHI ’21) N2 - This research investigates how people engage with data visualizations when commenting on the social platform Reddit. There has been considerable research on collaborative sensemaking with visualizations and the personal relation of people with data. Yet, little is known about how public audiences without specific expertise and shared incentives openly express their thoughts, feelings, and insights in response to data visualizations. Motivated by the extensive social exchange around visualizations in online communities, this research examines characteristics and motivations of people’s reactions to posts featuring visualizations. Following a Grounded Theory approach, we study 475 reactions from the /r/dataisbeautiful community, identify ten distinguishable reaction types, and consider their contribution to the discourse. A follow-up survey with 168 Reddit users clarified their intentions to react. Our results help understand the role of personal perspectives on data and inform future interfaces that integrate audience reactions into visualizations to foster a public discourse about data. KW - data visualization KW - reddit KW - personal data KW - Visualisierung KW - Personenbezogenen Daten Y1 - 2021 U6 - https://doi.org/10.1145/3411764.3445720 VL - 2021 SP - 1 EP - 12 PB - Association for Computing Machinery CY - New York ER - TY - CHAP A1 - Goodwin, Sarah A1 - Meier, Sebastian A1 - Bartram, Lyn A1 - Godwin, Alex A1 - Nagel, Till A1 - Dörk, Marian T1 - Unravelling the Human Perspective and Considerations for Urban Data Visualization T2 - 2021 IEEE 14th Pacific Visualization Symposium (PacificVis) N2 - Effective use of data is an essential asset to modern cities. Visualization as a tool for analysis, exploration, and communication has become a driving force in the task of unravelling our complex urban fabrics. This paper outlines the findings from a series of three workshops from 2018-2020 bringing together experts in urban data visualization with the aim of exploring multidisciplinary perspectives from the human-centric lens. Based on the rich and detailed workshop discussions identifying challenges and opportunities for urban data visualization research, we outline major human-centric themes and considerations fundamental for CityVis design and introduce a framework for an urban visualization design space. KW - Human-centered computing KW - Interaction design KW - Individuelle Datenverarbeitung KW - Visualisierung Y1 - 2021 SN - 978-1-6654-3931-2 U6 - https://doi.org/10.1109/PacificVis52677.2021.00024 SP - 126 EP - 130 PB - IEEE CY - New York ER - TY - INPR A1 - Morini, Francesca A1 - Eschenbacher, Anna A1 - Hartmann, Johanna A1 - Dörk, Marian T1 - From shock to shift BT - Data visualization for constructive climate journalism T2 - IEEE transactions on visualization and computer graphics N2 - We present a multi-dimensional, multi-level, and multi-channel approach to data visualization for the purpose of constructive climate journalism. Data visualization has assumed a central role in environmental journalism and is often used in data stories to convey the dramatic consequences of climate change and other ecological crises. However, the emphasis on the catastrophic impacts of climate change tends to induce feelings of fear, anxiety, and apathy in readers. Climate mitigation, adaptation, and protection—all highly urgent in the face of the climate crisis—are at risk of being overlooked. These topics are more difficult to communicate as they are hard to convey on varying levels of locality, involve multiple interconnected sectors, and need to be mediated across various channels from the printed newspaper to social media platforms. So far, there has been little research on data visualization to enhance affective engagement with data about climate protection as part of solution-oriented reporting of climate change. With this research we characterize the unique challenges of constructive climate journalism for data visualization and share findings from a research and design study in collaboration with a national newspaper in Germany. Using the affordances and aesthetics of travel postcards, we present Klimakarten, a data journalism project on the progress of climate protection at multiple spatial scales (from national to local), across five key sectors (agriculture, buildings, energy, mobility, and waste), and for print and online use. The findings from quantitative and qualitative analysis of reader feedback confirm our overall approach and suggest implications for future work. KW - Erzählen KW - Journalismus KW - Visualisierung KW - Klimaänderung KW - Meteorologie Y1 - 2023 U6 - https://doi.org/10.1109/TVCG.2023.3327185 SN - 1077-2626 N1 - IEEE VIS 2023 SP - 1 EP - 11 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - New York ER - TY - CHAP A1 - de Günther, Sabine A1 - Nanni, Giacomo A1 - Kyriazis, Ilias A1 - Freyberg, Linda A1 - Dörk, Marian ED - Lengyel, Dominik ED - Bienert, Andreas T1 - Tracing and Telling BT - Exploring collection holdings through graph-based narratives T2 - EVA BERLIN 2023 N2 - Cultural collections have transcended the boundaries of physical showcases and storage cabinets, evolving into intricate digital webs of interconnected data. The research project Restaging Fashion aimed to expand the possibilities for experiencing the linkages in digitized cultural heritage, focusing on the visualization of collection holdings related to the history of garments. Through graph-based narratives, the project investigated the complex interplay between the linear – and at times tentative – art historical discourses and the non-linear explorations of associated cultural heritage data. The resulting visualizations have been designed with the aim to allow for curated and dynamic exploration of the collection along research essays and their interrelated graphs. KW - Sammlung KW - Visualisierung KW - Mode Y1 - 2023 SN - 978-3-88609-891-0 SP - 333 EP - 338 CY - Cottbus ER - TY - JOUR A1 - Bludau, Mark-Jan A1 - Dörk, Marian A1 - Heidmann, Frank T1 - Relational perspectives as situated visualizations of art collections JF - Digital Scholarship in the Humanities N2 - With relational perspectives, we examine the potential of traversing cultural collections along the richness of individual facets and relations through the process of developing an exploration-centered visualization. Cultural collections can contain thousands of artifacts, of which each typically possesses a diverse set of properties and individual facets constituting a unique relationship to the rest of the collection. Therefore, to create an appropriate representation of the complex data of each underlying artifact, oftentimes, it is not only interesting to get an overview of the entire collection from one perspective, but to explore the specific context of an artifact and the various relations it may have to other items. To investigate the potential of relational perspectives, we selected an art collection as a particularly promising case study. By following and reporting from a collaborative and iterative design process with an art museum, we developed a web interface that contrasts a collection overview with three situated visualizations each exposing a different kind of relational perspective on the art collection from an artifact. KW - Kulturelle Einrichtung KW - Digitalisierung KW - Visualisierung KW - Graphische Benutzeroberfläche KW - Digital Humanities Y1 - 2021 U6 - https://doi.org/10.1093/llc/fqab003 SN - 1477-4615 VL - 36 IS - Supplement 2 SP - ii17 EP - ii29 PB - Oxford University Press CY - Oxford ER - TY - JOUR A1 - Garretón, Manuela A1 - Morini, Francesca A1 - Celhay, Pablo A1 - Dörk, Marian A1 - Parra, Denis T1 - Attitudinal effects of data visualizations and illustrations in data stories JF - IEEE Transactions on Visualization and Computer Graphics N2 - Journalism has become more data-driven and inherently visual in recent years. Photographs, illustrations, infographics, data visualizations, and general images help convey complex topics to a wide audience. The way that visual artifacts influence how readers form an opinion beyond the text is an important issue to research, but there are few works about this topic. In this context, we research the persuasive, emotional and memorable dimensions of data visualizations and illustrations in journalistic storytelling for long-form articles. We conducted a user study and compared the effects which data visualizations and illustrations have on changing attitude towards a presented topic. While visual representations are usually studied along one dimension, in this experimental study, we explore the effects on readers' attitudes along three: persuasion, emotion, and information retention. By comparing different versions of the same article, we observe how attitudes differ based on the visual stimuli present, and how they are perceived when combined. Results indicate that the narrative using only data visualization elicits a stronger emotional impact than illustration-only visual support, as well as a significant change in the initial attitude about the topic. Our findings contribute to a growing body of literature on how visual artifacts may be used to inform and influence public opinion and debate. We present ideas for future work to generalize the results beyond the domain studied, the water crisis. KW - Journalismus KW - Visualisierung KW - Illustration KW - Informationsspeicherung Y1 - 2023 U6 - https://doi.org/10.1109/TVCG.2023.3248319 SN - 1077-2626 SP - 1 EP - 16 CY - New York ER - TY - CHAP A1 - Menzel, Sina A1 - Bludau, Mark-Jan A1 - Leitner, Elena A1 - Dörk, Marian A1 - Moreno-Schneider, Julián A1 - Petras, Vivien A1 - Rehm, Georg ED - Andrews, Tara ED - Diehr, Franziska ED - Efer, Thomas ED - Kuczera, Andreas ED - van Zundert, Joris T1 - Graph Technologies for the Analysis of Historical Social Networks Using Heterogeneous Data Sources T2 - Graph Technologies in the Humanities N2 - Over the last decades, cultural heritage institutions have provided extensive machine-readable data, such as bibliographic and archival metadata, full-text collections, and authority records containing multitudes of implicit and explicit statements about the social relations between various types of entities. In this paper, we discuss how approaches to the creation and operation of advanced research infrastructure for historical network analysis (HNA) based on heterogeneous data sources from cultural heritage institutions can be examined and evaluated. Based on our interdisciplinary research, we describe challenges and strategies with a special focus on the issue of data processing, sketch out the advantages of human-centered project design in the form of a preliminary co-design workshop, and present an iterative approach to data visualization. KW - Kulturerbe KW - Visualisierung KW - Datenverarbeitung Y1 - 2020 UR - https://ceur-ws.org/Vol-3110/paper7.pdf SN - 1613-0073 SP - 124 EP - 149 CY - Wien ER - TY - RPRT A1 - Geuder, Philipp A1 - Leidinger, Marie-Claire A1 - Lupin, Martin von A1 - Dörk, Marian A1 - Schröder, Tobias T1 - Emosaic: Visualizing Affective Content of Text at Varying Granularity T2 - arxiv.org N2 - This paper presents Emosaic, a tool for visualizing the emotional tone of text documents, considering multiple dimensions of emotion and varying levels of semantic granularity. Emosaic is grounded in psychological research on the relationship between language, affect, and color perception. We capitalize on an established three-dimensional model of human emotion: valence (good, nice vs. bad, awful), arousal (calm, passive vs. exciting, active) and dominance (weak, controlled vs. strong, in control). Previously, multi-dimensional models of emotion have been used rarely in visualizations of textual data, due to the perceptual challenges involved. Furthermore, until recently most text visualizations remained at a high level, precluding closer engagement with the deep semantic content of the text. Informed by empirical studies, we introduce a color mapping that translates any point in three-dimensional affective space into a unique color. Emosaic uses affective dictionaries of words annotated with the three emotional parameters of the valence-arousal-dominance model to extract emotional meanings from texts and then assigns to them corresponding color parameters of the hue-saturation-brightness color space. This approach of mapping emotion to color is aimed at helping readers to more easily grasp the emotional tone of the text. Several features of Emosaic allow readers to interactively explore the affective content of the text in more detail; e.g., in aggregated form as histograms, in sequential form following the order of text, and in detail embedded into the text display itself. Interaction techniques have been included to allow for filtering and navigating of text and visualizations. KW - Mensch-Maschine-Kommunikation KW - Digital KW - Visualisierung KW - Text KW - Emotion KW - Farbe KW - Farbzuweisung KW - Farbübersetzung Y1 - 2020 U6 - https://doi.org/10.48550/arXiv.2002.10096 PB - Cornell University ER - TY - CHAP A1 - Bludau, Mark-Jan A1 - Halling, Thorsten A1 - Holly, Eva Maria A1 - Wieloch, Jasmin A1 - Schnaitter, Hannes A1 - Balck, Sandra A1 - Plakidis, Melina A1 - Rehm, Georg A1 - Fangerau, Heiner A1 - Dörk, Marian T1 - Was sehe ich? Visualisierungsstrategien für Datentransparenz in der Historischen Netzwerkanalyse T2 - DHd2022 : Kulturen des digitalen Gedächtnisses N2 - Die Historische Netzwerkanalyse (HNA) hat sich zu einem etablierten Forschungsfeld entwickelt. Zu ihren wichtigsten methodischen Herausforderungen gehört die Suggestionskraft von Visualisierungen. Die Transparenz bezüglich der Datenquellen ist daher für die HNA sowohl bei selbst erhobenen als auch bei sekundär genutzten Daten Voraussetzung, will sie geisteswissenschaftlichen Kriterien der Nachprüfbarkeit und Nachvollziehbarkeit von Interpretationen erfüllen. Dieser Beitrag beschreibt und diskutiert – aufbauend auf einem iterativen und durch Workshops sowie einer Nutzer*innenstudie begleiteten Forschungsprozess – vier Designziele zur Verwirklichung einer solchen Transparenz: 1) Aufnahme und Kommunikation von Datenprovenienzen, 2) Dokumentation vorausgegangener Prozesse, 3) Offenhaltung der Interpretierbarkeit der Daten und 4) Unterstützung von Folgeforschung. Anschließend werden beispielhafte Umsetzungsstrategien in Form von Prototypen präsentiert. KW - Visualisierung KW - Historische Netzwerkanalyse Y1 - 2022 U6 - https://doi.org/10.5281/zenodo.6327931 SP - 1 EP - 5 CY - Hamburg ER - TY - CHAP A1 - Brüggemann, Viktoria A1 - Bludau, Mark-Jan A1 - Dörk, Marian ED - Schöch, Christof T1 - Die Falte BT - Ein Denkraum für interaktive und kritische Datenvisualisierungen T2 - DHd 2020 Spielräume: Digital Humanities zwischen Modellierung und Interpretation KW - Visualisierung KW - Interaktion KW - Philosophie Y1 - 2020 U6 - https://doi.org/10.5281/zenodo.4621888 SP - 1 EP - 4 CY - Hamburg ER - TY - JOUR A1 - Bludau, Mark-Jan A1 - Dörk, Marian A1 - Tominski, Christian T1 - Unfolding Edges BT - Adding Context to Edges in Multivariate Graph Visualization JF - Computer Graphics Forum N2 - Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are the constitutive elements of networks, there have been only few attempts to visualize attributes of edges. In this work, we focus on the critical importance of edge attributes for interpreting network visualizations and building trust in the underlying data. We propose 'unfolding of edges' as an interactive approach to integrate multivariate edge attributes dynamically into existing node-link diagrams. Unfolding edges is an in-situ approach that gradually transforms basic links into detailed representations of the associated edge attributes. This approach extends focus+context, semantic zoom, and animated transitions for network visualizations to accommodate edge details on-demand without cluttering the overall graph layout. We explore the design space for the unfolding of edges, which covers aspects of making space for the unfolding, of actually representing the edge context, and of navigating between edges. To demonstrate the utility of our approach, we present two case studies in the context of historical network analysis and computational social science. For these, web-based prototypes were implemented based on which we conducted interviews with domain experts. The experts' feedback suggests that the proposed unfolding of edges is a useful tool for exploring rich edge information of multivariate graphs. KW - Node-Link Diagram KW - Visualisierung KW - Computational Social Science Y1 - 2023 U6 - https://doi.org/10.1111/cgf.14831 SN - 0167-7055 VL - 42 IS - 3 SP - 297 EP - 309 PB - Wiley-Blackwell CY - Oxford ER - TY - JOUR A1 - Brüggemann, Viktoria A1 - Bludau, Mark-Jan A1 - Dörk, Marian T1 - The Fold BT - Rethinking Interactivity in Data Visualization JF - Digital humanities quarterly : DHQ N2 - We propose the philosophical notion of the fold as an evocative vocabulary for the design and critique of interactive data visualizations. An expanding range of application areas, such as digital art history and literary studies, illustrates the potential of data visualization for research and education in the humanities. Coinciding with the increasing currency of data as evidence in the humanities, this research addresses a growing interest in data visualization for visual analysis and argumentation. For example, cultural collection visualizations promise a range of possibilities for visual and interactive representations of digital cultural heritage, used both for free exploration and focused research. Based on the concept of the fold, prominently advanced by Gilles Deleuze, this paper outlines a critical framework that draws attention towards the complexity of the underlying data. The fold offers a way to analyze and conceptualize visualizations through the lens of three integrated operations: explication, implication, and complication. It is an opportunity to think of interactive visualizations as portals into coherent, elastic, and ultimately infinite information spaces. Accordingly, it rejects the separation between interactivity and visual encoding and draws attention to the transitions between multiple states of a visualization. We identify design patterns of the fold in data visualizations, devise a framework for the critical interpretation of interactivity in data visualization, and demonstrate the implications for the digital humanities. KW - Visualisierung KW - Daten KW - Wortschatz KW - Deleuze, Gilles Y1 - 2020 UR - http://www.digitalhumanities.org/dhq/vol/14/3/000487/000487.html SN - 1938-4122 VL - 14 IS - 3 SP - 1 EP - 16 CY - USA ER - TY - JOUR A1 - Schwan, Hannah A1 - Jacke, Janina A1 - Kleymann, Rabea A1 - Stange, Jan-Erik A1 - Dörk, Marian T1 - Narrelations BT - Visualizing Narrative Levels and their Correlations with Temporal Phenomena JF - Digital humanities quarterly : DHQ N2 - We present findings from interdisciplinary research at the intersection between literary studies, information visualization, and interface design. Despite a growing interest in text visualization among literary scholars, so far, narrative visualizations are not designed to support the particular tasks involved in narratological analysis and often fail to reveal nuanced narratological features. One major outcome of our iterative research and design process is Narrelations, a novel visualization technique specifically suited for analyzing and interpreting narrative levels of a story and temporal aspects of its narrative representation. The visualization provides an overview of the nesting and distribution of narrative levels, integrates the representation of temporal phenomena, and facilitates the examination of correlations between these aspects. With this research we explore how collaboratively designed visual encodings and interaction techniques may allow for an insightful analysis at a high level coupled with a close inspection of text passages. We discuss prior work relevant to our research objectives and explain the specific characteristics of narrative levels and temporal aspects of narrative representation. After describing the research process and design principles, we apply the visualization on a test corpus of eight annotated German short stories and demonstrate its heuristic value for literary analyses and interpretations. In particular, we explore the intricate connections between the literary content of the novellas and their narrative form. KW - Literaturwissenschaft KW - Visualisierung KW - Erzähltechnik Y1 - 2019 UR - http://digitalhumanities.org:8081/dhq/vol/13/3/000414/000414.html SN - 1938-4122 VL - 13 IS - 3 SP - 1 EP - 27 PB - Association for Computers and the Humanities CY - USA ER -