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Many datasets have multiple perspectives – for example space, time and description – and often analysts are required to study these multiple perspectives concurrently. This concurrent analysis becomes difficult when data are grouped and split into small multiples for comparison. A design challenge is thus to provide representations that enable multiple perspectives, split into small multiples, to be viewed simultaneously in ways that neither clutter nor overload. We present a design framework that allows us to do this. We claim that multi-perspective comparison across small multiples may be possible by superimposing perspectives on one another rather than juxtaposing those perspectives side-by-side. This approach defies conventional wisdom and likely results in visual and informational clutter. For this reason we propose designs at three levels of abstraction for each perspective. By flexibly varying the abstraction level, certain perspectives can be brought into, or out of, focus. We evaluate our framework through laboratory-style user tests. We find that superimposing, rather than juxtaposing, perspective views has little effect on performance of a low-level comparison task. We reflect on the user study and its design to further identify analysis situations for which our framework may be desirable. Although the user study findings were insufficiently discriminating, we believe our framework opens up a new design space for multi-perspective visual analysis.
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.
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.
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.
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.
Die Falte
(2020)
The Fold
(2020)
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.
Tracing and Telling
(2023)
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.
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.
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.
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.
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.
Das Prinzip des Faltens soll als Metapher für grafische Benutzeroberflächen weiterentwickelt werden. Es soll untersucht werden, ob das Erlernen und das Verständnis der Bedienung bestimmter Programmfunktionen im Wesentlichen durch Faltprinzipien erleichtert werden. Eine Vielzahl von Funktionen wird heute in einem einzigen Gerät integriert. Die so entstehenden Hybriden stellen aus Sicht des Designs jedoch die Frage nach Form und Gestalt des Artefakts. Wegen der kleinen Größe der mobilen Geräte ist es folglich problematisch all diese unterschiedlichen Interfaces auf der Benutzeroberfläche zu integrieren. Versucht man diese unterschiedlichen Interfaces zu vereinen, ist das Ergebnis ein unübersichtliches, verwirrendes Interface mit eingeschränkter Bedienung. Zudem findet das Interface für die obsolete Desktop-Metapher immer noch Verwendung. Durch den bezug zu real existierenden Arbeitsumgebungen sind Desktop-Systeme zwar einfach zu bedienen und verständlich, doch können sie nicht ausgebaut werden. Problematisch ist vor allem die kleine Größe der Desktops, um die Desktop-Metapher konvenabel auszuführen. Demnach ist eine konvenable Bedienung aufgrund der veralteten Desktop-Metapher sowie des Interfaces hinsichtlich der Miniaturisierung der mobilen Geräte nur eingeschränkt möglich oder sogar undurchführbar. Die Arbeit erhebt hiernach den Anspruch, Überlegungen anzustreben, die den Begriff ‚Interface’ neu definieren sowie die daraus resultierende These „Das Paradigma ‚Falten‘ ist die Zukunft der ‚ePaper-Technologie‘ zu diskutieren.
The Public Life of Data
(2021)
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.
The Marker Cluster
(2016)
The growing amount of gathered, stored and available data is creating a need for useful mass-data visualizations in many domains. The mapping of large spatial data sets is not only of interest for experts anymore, but, with regard to the latest advances in web cartography, also moves into the domain of public cartographic applications. One interactive web-based cartographic interface design pattern that helps with visualizing and interacting with large, high density data sets is the marker cluster; a functionality already in use in many web-based products and solutions. In this article, the author will present their ongoing research on the problem of “too many markers.” They will present an empirical evaluation and comparison of marker cluster techniques and similar approaches, including heatmaps and tiled heatmaps. They conclude with a first concept for overcoming some of the obstacles that they were able to identify in their study and thereby introduce a new direction for further research.
This paper introduces an approach for visualizing large spatial time series data sets on mobile devices. The HeatTile system (Meier et al. 2014) is used and extended with a progressive loading approach, the stream approach. By combining those two approaches, this study aimed to overcome the performance and bandwidth limitations inherent to mobile devices. This chapter focuses on the technological advantages of the presented approach in a performance comparison with other common approaches. Furthermore, an animated time series visualization is introduced, as well as an interface designed specifically for the presented method in order to emphasize the advantages of the approach. To further highlight the possible applications of the method, two real-world use cases are presented.
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.