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Interfacing with power
(2017)
Drawing connections
(2018)
In November 2022, the US company OpenAI launched its chatbot ChatGPT built on top of its large language models (LLMs). “This chatbot has redefined the standards of artificial intelligence, proving that machines can indeed ‘learn’ the complexities of human language and interaction”, urteilte Forbes in May 2023.
As new trends constantly emerge worldwide, such as ChatGPT, it is necessary to approach the promotion of these tools to the broader population in an appropriate manner. New technologies and artificial intelligence tools simultaneously offer enhanced functionality but also the potential for misuse, such as plagiarism. Therefore, in the home countries of the authors, various discussions have been initiated at numerous universities and other organisations over the years regarding the advantages and disadvantages of these tools and how to best utilize them. It will be important for university teachers to actively integrate tools such as ChatGPT into their teaching and to critically reflect on the necessary competences for the use of such a chatbot. To achieve such learning objectives, the first step is to understand how ChatGPT works and how it can be used. In the following, the focus is on one such application, namely how ChatGPT can be used in cultural marketing.
Narrelations
(2019)
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.
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.
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.
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.
Approximately four percent of the world’s population suffers from anxiety disorders. This makes anxiety disorders one of the most common mental illnesses and a significant global health concern. As social media is a primary source of health information and communication, this study aims at investigating how the hashtag #anxiety is used on Twitter and Instagram. The hashtag #anxiety was chosen because it is commonly used by the social media community to post or tweet about anxiety disorders, such as social anxiety, thus providing broad access to the data. We followed a quantitative approach and gathered open data from December 24th, 2019 to January 1st, 2020. Furthermore, we used a qualitative content analysis to detect topics and patterns within the data. Coding focused on identifying goals, motivations, and feelings concerning anxiety (disorders) and information sharing. Findings show that content and appearance of posts are strongly shaped by characteristics of the platforms. Additionally, the results unveil that both platforms serve as mediua for sharing information regarding mental health matters, such as personal experiences, challenges, and coping strategies, thereby cultivating a sense of community and support among users dealing with comparable issues. Twitter predominantly functions for real-time updates, in-situ interactions, and emergency communication, while Instagram's visual nature appears to offer a venue for creative expression through images and captions, illuminating the emotional and personal narratives of mental health journeys.
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.
This article investigates data journalism epistemology through Michel Foucault’s definition of power. The growing demand for data-savvy reporters with computational skills has been proven to shift the newsrooms’ culture in media companies across the globe. Previous research has documented journalists’ shift towards a data-centred epistemology and the increasingly important role of computation and data-driven practices in newsrooms. By focusing on inexperienced journalists as they mobilise data journalism for the first time, this research openly discusses its epistemology as a form of Foucauldian power: which epistemological tensions – individual or structural – emerge among newcomers when reporting extensively with data? The article presents the case of a newly formed data journalism team at taz, a German cooperative media company. It is based on qualitative data collected through action research, namely six in-depth interviews, auto-ethnographic notes and self-reflective inquiries. Data are framed through Foucault’s concepts of power and will to truth. Results show the discord between data journalism epistemology and its practical implementation. Despite prioritising democratic access to data, technologies and non-hierarchical forms of cooperation, data journalism remains largely dependent on traditional methods and culture.
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.
Surprise Machines is a project of experimental museology that sets out to visualize the entire image collection of the Harvard Art Museums, with a view to opening up unexpected vistas on more than 200,000 objects usually inaccessible to visitors. The project is part of the exhibition organized by metaLAB (at) Harvard entitled Curatorial A(i)gents and explores the limits of artificial intelligence to display a large set of images and create surprise among visitors. To achieve this feeling of surprise, a choreographic interface was designed to connect the audience’s movement with several unique views of the collection.
We present findings from design research on disclosure at the intersection of data visualization, digital storytelling, and feminism. While there is an increased awareness of power structures in data science, computing, and design, there is little design research to confront these. This work explores the potential of disclosing context information of data stories, i.e., digital storytelling formats utilizing data visualizations, to enable critical-feminist readings of and reflections on these stories. Drawing from a growing body of feminist scholarship in human-computer interaction, data science, and beyond, we identify key aspects and forms of disclosure for embedding them into visual data story interfaces. We devise and validate these aspects and forms within a case study: a Web-based scrollytelling article explaining the feminist concept of intersectionality using a combination of animated illustration, data visualization, and text. With this work, we demonstrate and discuss the potentials and pitfalls of disclosure practices in data storytelling.
Today research is in the midst of a global transformation that is usually referred to as Open Science. Open Science is a response from communities to global societal developments and to the digital transformation of research processes and leads to the emergence of new practices that are embedded in a digital ecosystem. The global Medieval Studies community is slowly adapting to this new culture that raises new questions around scientific practices. This article discusses three major pillars of Open Science: Open Access, Open Data, and Open Science Communication in the Digital Age. It considers the potential of these practices for individual researchers and for the role of medieval research in a modern society and explains good practices to start with.
Creative coding is a form of postdigital art that uses programming to solve esthetical problems, subordinating functionality to expression. It often comes with rather uncommon usage patterns of coding, going beyond technologies' affordances and finding ways of appropriating them in an individual way and in exchange with others. The learning ecologies GitHub, Stack Overflow, and Pouët present digital infrastructures that curate and support such appropriation-related activities. The paper presents a qualitative analysis of the structure of these spaces, and the appropriation-related communication taking place. It shows how crucial the varying designs of the learning ecologies and the implemented interaction possibilities are for the appropriation activities taking place and draws a line to the desire for stronger participation in postdigital curation.
Curatorial activities provide (infra)structure and meaning to artworks through the selection and combination of different pieces and their public display. Therefore the way context is added shapes people’s perspective towards art. (Post-)digital art and online exhibitions come with specific constraints concerning curation and have a potential to overcome the hierarchies between curators, artists and visitors. In discussing selected digital exhibition formats from the 1990s until today, the article illustrates how the genre has evolved in response to technological changes and concepts of democratization as well as user involvement. Looking at the online exhibition “UN/NATURAL SURROGATES” (2019) the article opens up a perspective towards meta-curating that allows to conceive (online) exhibitions as a means of reflecting on curatorial processes in the postdigital era.