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 - JOUR A1 - Meier, Sebastian T1 - Visualizations in Online News - and Their Effect on Perceived Credibility JF - KN - Journal of cartography and geographic information N2 - Over the last few years, data visualization, especially the visualization of spatial data, has become of ever-increasing importance in modern online journalism. While there is a broad range of research projects that focus on developing new methods, techniques, and implementations, empirical analysis of the potential implications of this trend is still rare. In this paper, the potential influence of visualizations in online journalism is in the focus: perceived credibility. The need for such empirical research is emphasized by presenting a preliminary quantitative study that assesses the impact of maps and information visualization on the perceived credibility of online news articles. KW - Glaubwürdigkeit KW - Karte KW - Visualisierung KW - Umfrage KW - Nachrichtensendung Y1 - 2017 U6 - https://doi.org/10.1007/BF03545380 SN - 2524-4957 SN - 2524-4965 VL - 67 IS - 2 SP - 74 EP - 83 PB - Springer International Publishing CY - Cham 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 - 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 - 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 - JOUR A1 - Kauer, Tobias A1 - Akbaba, Derya A1 - Dörk, Marian A1 - Bach, Benjamin T1 - Discursive Patinas BT - Anchoring Discussions in Data Visualizations JF - IEEE transactions on visualization and computer graphics N2 - This paper presents discursive patinas, a technique to visualize discussions onto data visualizations, inspired by how people leave traces in the physical world. While data visualizations are widely discussed in online communities and social media, comments tend to be displayed separately from the visualization and we lack ways to relate these discussions back to the content of the visualization, e.g., to situate comments, explain visual patterns, or question assumptions. In our visualization annotation interface, users can designate areas within the visualization. Discursive patinas are made of overlaid visual marks (anchors), attached to textual comments with category labels, likes, and replies. By coloring and styling the anchors, a meta visualization emerges, showing what and where people comment and annotate the visualization. These patinas show regions of heavy discussions, recent commenting activity, and the distribution of questions, suggestions, or personal stories. We ran workshops with 90 students, domain experts, and visualization researchers to study how people use anchors to discuss visualizations and how patinas influence people's understanding of the discussion. Our results show that discursive patinas improve the ability to navigate discussions and guide people to comments that help understand, contextualize, or scrutinize the visualization. We discuss the potential of anchors and patinas to support discursive engagements, including critical readings of visualizations, design feedback, and feminist approaches to data visualization. KW - Annotation KW - Daten KW - Diskussion KW - Visualisierung Y1 - 2024 U6 - https://doi.org/10.1109/TVCG.2024.3456334 SN - 1077-2626 VL - 21 IS - 1 SP - 1246 EP - 1256 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - New York 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 VL - 30 IS - 7 SP - 4039 EP - 4054 CY - New York ER - TY - CHAP A1 - Krohn, Matthias T1 - Design mit digitalen Medien : das Projekt "Human Touch" T2 - Images of a conference : Designkonferenz Potsdam ; Konferenz am 23./24. JUni 1995 T2 - Designing digital media : the "Human Touch" projekt KW - Design KW - Telematik KW - Interaktive Medien KW - Wissenvermittlung KW - Visualisierung KW - Mensch-Maschine-Kommunikation Y1 - 1995 SN - 3-928710-27-3 SP - 204 EP - 209 PB - Westermann-Kommunikation CY - Ingelheim ER - TY - CHAP A1 - Windhager, Florian A1 - Abdul-Rahman, Alfie A1 - Bludau, Mark-Jan A1 - Hengesbach, Nicole A1 - Lamqaddam, Houda A1 - Meirelles, Isabel A1 - Speckmann, Bettina A1 - Corell, Michael T1 - Complexity as Design Material BT - Position Paper T2 - 2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization : BELIV 2024 N2 - Complexity is often seen as a inherent negative in information design, with the job of the designer being to reduce or eliminate complexity, and with principles like Tufte's “data-ink ratio” or “chartjunk” to operationalize mimimalism and simplicity in visualizations. However, in this position paper, we call for a more expansive view of complexity as a design material, like color or texture or shape: an element of information design that can be used in many ways, many of which are beneficial to the goals of using data to understand the world around us. We describe complexity as a phenomenon that occurs not just in visual design but in every aspect of the sensemaking process, from data collection to interpretation. For each of these stages, we present examples of ways that these various forms of complexity can be used (or abused) in visualization design. We ultimately call on the visualization community to build a more nuanced view of complexity, to look for places to usefully integrate complexity in multiple stages of the design process, and, even when the goal is to reduce complexity, to look for the non-visual forms of complexity that may have otherwise been overlooked. KW - Komplexität KW - Mediendesign KW - Visualisierung Y1 - 2024 SN - 979-8-3315-2846-1 U6 - https://doi.org/10.1109/BELIV64461.2024.00013 SP - 71 EP - 80 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - New York ER - TY - BOOK A1 - Heinicker, Paul T1 - Anderes Visualisieren BT - Zur Kritik der Datengestaltung N2 - Ob Corona-Pandemie oder Klimawandel – Datenbilder sind zu einem zentralen Bestandteil gesellschaftlicher Diskurse geworden. Doch gerade ihre Anschaulichkeit verstellt den Blick auf die Komplexität von Bildprozessen. Was zeigen Datenvisualisierungen und was verschweigen sie? Und vonn wem und wie werden Daten visualisiert? Paul Heinicker formuliert eine Kritik an der abbildungsgetriebenen Kultur der Datenvisualisierung und entwickelt alternative Modelle, die sich näher an den produktionstheoretischen Realitäten der Datengestaltung orientieren – wozu auch die Beschreibung eigener Visualisierungspraktiken gehört. Dabei zeigt sich: Anderes Visualisieren realisiert sich im Dazwischen von Theorie und Praxis. KW - Daten KW - Digital Humanities KW - Kritik KW - Visualisierung Y1 - 2024 SN - 978-3-8394-7482-2 U6 - https://doi.org/10.14361/9783839474822 PB - transcript Verlag CY - Bielefeld ER -