FB4 Design
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A Contemporary Nolli Map
(2023)
More than 250 years ago, Giovanni Battista Nolli, an Italian architect, engineer and cartographer, was concerned with how and where space is or is not publicly accessible. In his map 'La nuova topografia di Roma Comasco', he mapped publicly accessible interior and exterior spaces of Rome with an impressively high level of detail as a figure-ground map. Since Nolli’s time, both the character and diversity of public spaces as well as cartographic technology have changed. This research project aims to adapt some ideas behind Nolli’s map for today’s circumstances on the basis of open data, and seeks to develop methods for processing volunteered geographical information from OpenStreetMap (OSM) to identify, categorize, and map public spaces based on thematic and geometric information.
Developing the next generation of cartographers is essential to sustaining and expanding the mission of the International Cartographic Association. Students and early-career professionals today learn cartographic design alongside a diverse array of conceptual and technical competencies, such as data science, human-computer interaction, information visualization, and machine learning. Accordingly, the next generation of cartographers often are working at the forefront of the discipline, actively reshaping what cartography is and can be.
Unfolding Edges
(2023)
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.
From Sketching to Coding
(2023)
This workshop will explore strategies for teaching visualization literacy - from sketching to creating visualizations using computational tools. Led by instructors from the humanities, visual analytics, design, and computer science, sessions will discuss different methodologies and challenges of teaching visualization to audiences with varied technical and disciplinary expertise and goals.
Der Workshop hinterfragt partizipativ die Visualisierungskultur und Wahrnehmungs- bzw. Nutzungspraktiken digitaler Kulturerbe-Daten am Beispiel musealer Sammlungen im Web. Im Zentrum steht dabei der Einsatz von Eyetracking-Verfahren sowie Methoden der heuristischen Usability-Evaluation. Ausgehend von den Webseiten "explorativ" gestalteter Online Sammlungen werden die graphischen Benutzeroberflächen als visuelle Schnittstelle zwischen interner Objektdatenbank und Rezipientenschaft kritisch beleuchtet. In engem Austausch mit den Teilnehmer*innen sollen die User Experience praktisch erforscht werden. Dazu gehören einerseits Fragen nach den Wahrnehmungsstrukturen und der intuitiven Nutzung der Seiten, ihrer Zeichen und Navigation. Andererseits wird explizit ein Augenmerk auf die angebotene Auswahl der Informationen von v.a. Einzelobjektseiten und das Vernetzungspotential verlinkter Daten als Möglichkeit der Kunstvermittlung gelegt.
Was sehe ich? Visualisierungsstrategien für Datentransparenz in der Historischen Netzwerkanalyse
(2022)
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.
Von der Wolke zum Pfad
(2022)
Die in den letzten Jahren entstandenen explorativen Visualisierungen musealer Sammlungen widmen sich zumeist einzelnen Sammlungen, welche oft einer spezifischen Systematik folgen und eine geringe Vielfalt an Objektgattungen und Attributen aufweisen. Das hier vorgestellte Forschungsprojekt stellte sich die Frage, wie verschiedene, in sich heterogene, Sammlungen miteinander verknüpft, visualisiert und exploriert werden können, ohne die Unterschiede zwischen ihnen zu nivellieren. Dazu wurden im Rahmen einer Forschungskooperation mit den Staatlichen Museen zu Berlin die Bestände aus dem 19. Jahrhundert der Alten Nationalgalerie sowie des Museums Europäischer Kulturen ausgewählt. Das Ziel war es, übergreifende Zusammenhänge und Resonanzen zwischen den Sammlungen aufzugreifen und dynamische, interaktive Arrangements zu entwickeln, welche die assoziative Exploration von Beständen anregen. Das Ergebnis ist ein interaktiver Prototyp, der eine globale Übersicht in Form einer annotierten Wolke mit der lokalen Perspektive eines auf Ähnlichkeiten basierten Pfads verknüpft.
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.
Die Falte
(2020)
This contribution explores the instructive tensions between art-historical research and semantic data modeling. While the potential of LOD-applications is obvious in terms of standardization and precision some aspects of research may not be formally represented. Therefore we propose to bridge LOD and full text descriptions through information visualization.
Im Südosten von Berlin entsteht durch die Neuansiedlung der Tesla-Autofabrik in Grünheide und der Eröffnung des neuen Berliner Flughafens ein starkes wirtschaftliches Wachstum. Neben geschätzen 12.000 neuen Arbeitsplätzen in der Autofabrik selbst (Ausbaustufe I) werden zukünftig bis zu 40.000 neue Arbeitsplätze (Ausbaustufe II und induzierte Bedarfe) prognostiziert - mit entsprechend hohem Wohnraum- und Mobilitätsbedarf. Für die inter- und transdisziplinäre Projektarbeit des 5. Jahrgangs im Masterstudiengang Urbane Zukunft an der Fachhochschule Potsdam waren die Leitfragen, wie unter diesen Rahmenbedingungen eine sozialökologische Modernisierung und der Übergang in eine klimaneutrale Gesellschaft gestaltet werden kann und welche raumplanerischen, technologischen und sozialen Entwicklungen hierfür erforderlich sind. Als Bezugsrahmen unserer Untersuchungen diente das Leitbild der 2.000-Watt-Gesellschaft, das als Zielgröße für eine nachhaltige Gesellschaft eine durchschnittliche Energieleistung von max. 2.000 Watt pro Einwohner definiert. Das Erreichen dieses Ziels erfordert neben technologischen Innovationen und einem gewaltigen Umbau der urbanen (Infrastruktur-) Systeme vor allem nachhaltige Lebensstile und berührt so auch sämtliche Fragen des Wohnens und Arbeitens, der Energieversorgung sowie des Mobilitäts- und Konsumverhalten.
This poster summary offers a brief overview of the methodical approach behind the process of curriculum development for the design degree programmes at the University of Applied Sciences Potsdam (Fachhochschule Potsdam [FHP]), in adherence to the underlying principle of an iterative ideation process as part of the interdisciplinary project entitled “Design NOT plain vanilla”. It presents an approach enriched by the example of “student” stakeholder group integration. First, the shared attributes linked to digitalisation that characterise the transformation of job descriptions found in the epistemic cultures of design and information sciences, and the differences in existing curricula concepts were outlined. Based on this, an explanation is provided as to why – as per the authors’ interpretation – the methodical approach that shapes the development of curricula as well as the underlying paradigms of the curriculum concept within the design degree programmes could provide prudent impetus for the process of curriculum development, as well as for the structure of curricula in information Science
degree programmes.
To Classify is to Interpret
(2023)
Taxonomy building is a task that requires interpreting and classifying data within a given frame of reference, which comes to play in many areas of application that deal with knowledge and information organization. In this paper, we explore how taxonomy building can be supported with systems that integrate machine learning (ML). However, relying only on black-boxed ML-based systems to automate taxonomy building would sideline the users’ expertise. We propose an approach that allows the user to iteratively take into account multiple model’s outputs as part of their sensemaking process. We implemented our approach in two real-world use cases. The work is positioned in the context of HCI research that investigates the design of ML-based systems with an emphasis on enabling human-AI collaboration.
Data Stories of Water
(2023)
We present a methodology for making sense of the communicative role of data visualizations in journalistic storytelling and share findings from surveying water-related data stories. Data stories are a genre of long-form journalism that integrate text, data visualization, and other visual expressions (e.g., photographs, illustrations, videos) for the purpose of data-driven storytelling. In the last decade, a considerable number of data stories about a wide range of topics have been published worldwide. Authors use a variety of techniques to make complex phenomena comprehensible and use visualizations as communicative devices that shape the understanding of a given topic. Despite the popularity of data stories, we, as scholars, still lack a methodological framework for assessing the communicative role of visualizations in data stories. To this extent, we draw from data journalism, visual culture, and multimodality studies to propose an interpretative framework in six stages. The process begins with the analysis of content blocks and framing elements and ends with the identification of dimensions, patterns, and relationships between textual and visual elements. The framework is put to the test by analyzing 17 data stories about water-related issues. Our observations from the survey illustrate how data visualizations can shape the framing of complex topics.
Kleidung, Tracht und Mode kommunizieren die Vorstellung des Trägers von Schönheit, Status, Körper, Form, sozialer Hierarchie und religiöser Zugehörigkeit, kurz: die Identität des Trägers. Die Informationen in den historischen Quellen zur Kleidung, in bildlichen Darstellungen, beschreibenden Texten und textilen Artefakten, werden in dem interdisziplinären Forschungs- und Digitalisierungsprojekt "Restaging Fashion. Digitale Kontextualisierung vestimentärer Quellen" (UCLAB, Fachhochschule Potsdam) interpretiert und kontextualisiert. Eine tiefe inhaltliche Erschließung, sowie im Projekt angefertigte Digitalisate bilden dafür die Datenbasis. Ein besonderer Schwerpunkt wird zum einen auf der prototypischen 3D-Digitalisierung historischer Kleidung liegen. Zum Anderen wird die Datenvisualisierung als epistemisches Werkzeug sowohl im Prozess der Erfassung genutzt als auch für die Sammlungspräsentation im Web eingesetzt. Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Gedächtnisses.
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.
Social anxiety disorder (SAD) is one of the most commonly diagnosed anxiety disorders and a health concern that has a significant impact on the affected individuals’ quality of life. Although there is a need to develop methods and tools to support those affected by SAD, it is especially challenging to conduct participatory design with this psychologically vulnerable group of people. This paper presents the design, implementation and evaluation of a participatory format built on a toolkit, a cultural probe and an online prototyping workshop to gain insights into the challenges and needs experienced in the everyday lives of those affected by severe social anxiety. We provide the theoretical framework for designing a participatory format for this vulnerable group, introduce and discuss our methodological approach, and present the lessons learned from implementing and evaluating the format in two workshop sessions with a total of 15 participants.
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.
Transdisciplinary research processes often involve the integration of knowledge and stakeholders from various backgrounds. Here, we introduce the story of the research project AMA (A Mindset for the Anthropocene) on the role of mindsets in the context of sustainability and present an interactive visualization tool that we developed for stakeholder mapping and research communication. Through this platform, we provide access and navigation to everyone interested in this field of research and we have simultaneously created a channel for all stakeholders to co-create content. Here, we describe the design and functionalities of the platform and the participatory way it was developed as part of our stakeholder engagement. We discuss upon how such a design allows for reflection of potential biases in transdisciplinary research processes and simultaneously catalyzing self-organization in stakeholder networks.
As part of the research project Open Data Cloud Services (ODCS), we have been trying to overcome some of the limitations introduced through the heterogeneity of spatial open government data (sOGD). In this paper we describe some of the challenges of sODG and one of the tools we built to spatially organize heterogenous sOGD, to make it easier for users to find data and automatically integrate it into existing data structures and in the future allow for cross-dataset spatial analysis.