@inproceedings{MenzelBludauLeitneretal., author = {Menzel, Sina and Bludau, Mark-Jan and Leitner, Elena and D{\"o}rk, Marian and Moreno-Schneider, Juli{\´a}n and Petras, Vivien and Rehm, Georg}, title = {Graph Technologies for the Analysis of Historical Social Networks Using Heterogeneous Data Sources}, series = {Graph Technologies in the Humanities}, booktitle = {Graph Technologies in the Humanities}, editor = {Andrews, Tara and Diehr, Franziska and Efer, Thomas and Kuczera, Andreas and van Zundert, Joris}, address = {Wien}, organization = {Universit{\"a}t Wien}, issn = {1613-0073}, pages = {124 -- 149}, abstract = {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.}, subject = {Kulturerbe}, language = {en} } @article{Meier, author = {Meier, Sebastian}, title = {Visualizations in Online News - and Their Effect on Perceived Credibility}, series = {KN - Journal of cartography and geographic information}, volume = {67}, journal = {KN - Journal of cartography and geographic information}, number = {2}, publisher = {Springer International Publishing}, address = {Cham}, issn = {2524-4957}, doi = {10.1007/BF03545380}, pages = {74 -- 83}, abstract = {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.}, subject = {Glaubw{\"u}rdigkeit}, language = {en} } @inproceedings{BrueggemannBludauDoerk, author = {Br{\"u}ggemann, Viktoria and Bludau, Mark-Jan and D{\"o}rk, Marian}, title = {Die Falte}, series = {DHd 2020 Spielr{\"a}ume: Digital Humanities zwischen Modellierung und Interpretation}, booktitle = {DHd 2020 Spielr{\"a}ume: Digital Humanities zwischen Modellierung und Interpretation}, editor = {Sch{\"o}ch, Christof}, address = {Hamburg}, organization = {Verband Digital Humanities im deutschsprachigen Raum e.V.}, doi = {10.5281/zenodo.4621888}, pages = {1 -- 4}, subject = {Visualisierung}, language = {de} } @inproceedings{GoodwinMeierBartrametal., author = {Goodwin, Sarah and Meier, Sebastian and Bartram, Lyn and Godwin, Alex and Nagel, Till and D{\"o}rk, Marian}, title = {Unravelling the Human Perspective and Considerations for Urban Data Visualization}, series = {2021 IEEE 14th Pacific Visualization Symposium (PacificVis)}, booktitle = {2021 IEEE 14th Pacific Visualization Symposium (PacificVis)}, publisher = {IEEE}, address = {New York}, organization = {The Institute of Electrical and Electronics Engineers (IEEE)}, isbn = {978-1-6654-3931-2}, doi = {10.1109/PacificVis52677.2021.00024}, pages = {126 -- 130}, abstract = {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.}, subject = {Individuelle Datenverarbeitung}, language = {en} } @techreport{GeuderLeidingerLupinetal., type = {Working Paper}, author = {Geuder, Philipp and Leidinger, Marie-Claire and Lupin, Martin von and D{\"o}rk, Marian and Schr{\"o}der, Tobias}, title = {Emosaic: Visualizing Affective Content of Text at Varying Granularity}, series = {arxiv.org}, journal = {arxiv.org}, publisher = {Cornell University}, doi = {10.48550/arXiv.2002.10096}, pages = {9}, abstract = {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.}, subject = {Mensch-Maschine-Kommunikation}, language = {en} } @article{KauerAkbabaDoerketal., author = {Kauer, Tobias and Akbaba, Derya and D{\"o}rk, Marian and Bach, Benjamin}, title = {Discursive Patinas}, series = {IEEE transactions on visualization and computer graphics}, volume = {21}, journal = {IEEE transactions on visualization and computer graphics}, number = {1}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {New York}, issn = {1077-2626}, doi = {10.1109/TVCG.2024.3456334}, pages = {1246 -- 1256}, abstract = {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.}, subject = {Annotation}, language = {en} } @article{GarretonMoriniCelhayetal., author = {Garret{\´o}n, Manuela and Morini, Francesca and Celhay, Pablo and D{\"o}rk, Marian and Parra, Denis}, title = {Attitudinal effects of data visualizations and illustrations in data stories}, series = {IEEE Transactions on Visualization and Computer Graphics}, volume = {30}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = {7}, address = {New York}, organization = {Institute of Electrical and Electronics Engineers (IEEE)}, issn = {1077-2626}, doi = {10.1109/TVCG.2023.3248319}, pages = {4039 -- 4054}, abstract = {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.}, subject = {Journalismus}, language = {en} } @inproceedings{Krohn, author = {Krohn, Matthias}, title = {Design mit digitalen Medien : das Projekt "Human Touch"}, series = {Images of a conference : Designkonferenz Potsdam ; Konferenz am 23./24. JUni 1995}, booktitle = {Images of a conference : Designkonferenz Potsdam ; Konferenz am 23./24. JUni 1995}, publisher = {Westermann-Kommunikation}, address = {Ingelheim}, organization = {Fachhochschule Potsdam}, isbn = {3-928710-27-3}, pages = {204 -- 209}, subject = {Design}, language = {de} } @inproceedings{WindhagerAbdulRahmanBludauetal., author = {Windhager, Florian and Abdul-Rahman, Alfie and Bludau, Mark-Jan and Hengesbach, Nicole and Lamqaddam, Houda and Meirelles, Isabel and Speckmann, Bettina and Corell, Michael}, title = {Complexity as Design Material}, series = {2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization : BELIV 2024}, booktitle = {2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization : BELIV 2024}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {New York}, isbn = {979-8-3315-2846-1}, doi = {10.1109/BELIV64461.2024.00013}, pages = {71 -- 80}, abstract = {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.}, subject = {Komplexit{\"a}t}, language = {en} } @book{Heinicker, author = {Heinicker, Paul}, title = {Anderes Visualisieren}, publisher = {transcript Verlag}, address = {Bielefeld}, isbn = {978-3-8394-7482-2}, doi = {10.14361/9783839474822}, publisher = {Fachhochschule Potsdam}, pages = {436}, abstract = {Ob Corona-Pandemie oder Klimawandel - Datenbilder sind zu einem zentralen Bestandteil gesellschaftlicher Diskurse geworden. Doch gerade ihre Anschaulichkeit verstellt den Blick auf die Komplexit{\"a}t 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 n{\"a}her an den produktionstheoretischen Realit{\"a}ten der Datengestaltung orientieren - wozu auch die Beschreibung eigener Visualisierungspraktiken geh{\"o}rt. Dabei zeigt sich: Anderes Visualisieren realisiert sich im Dazwischen von Theorie und Praxis.}, subject = {Daten}, language = {de} }